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Table of Content

    26 April 2023, Volume 37 Issue 3 Previous Issue    Next Issue
    Vehicle engineering

    Description and simulation analysis of traffic flowparameters of the vehicle particle system

    2023, 37 (3):  1-11. 
    Abstract ( 163 )   PDF (5065KB) ( 224 )   Save
    In this paper, the state of traffic flow is represented by the vehicle particle system, and the traffic flow parameters are expressed based on the centroid parameters of the vehicle particle system in a specific instantaneous section area.The spatio-temporal similarities and differences between the traffic flow parameters expressed based on the centroid parameters of the vehicle particle system and the traditional parameters are analyzed by setting three traffic flow trends and the composition of two types of vehicles on the road segment.The results indicate that the trend of the traffic flow speed vcis the same with the space mean speed the former being represented by the centroid parameters.Moreover, the centroid speed vccan better timely reflect the spatio-temporal synchronous change characteristics of the traffic flow speed and also reflect the impact of vehicle mass (i.e. inertia)and its distribution characteristics on the changing situation of the traffic flow. However, the space-mean has a time lag compared to the centroid speed vc. By comparing the traffic flow density parameters characterized by the two methods, the spatial distribution state is found to be basically consistent.The traditional time-varying process of the traffic flow parameters has a time lag compared with the traffic flow represented by the centroid parameters.
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    A fusion model for short-term traffic congestion state predictionwith FCM-RBF

    2023, 37 (3):  12-21. 
    Abstract ( 226 )   PDF (3866KB) ( 207 )   Save
    For frequently congested sections of an expressway, this paper proposes a short-term traffic congestion prediction model combining a fuzzy C-means (FCM) clustering algorithm and a radial basis function (RBF) neural network. In the model, the FCM clustering algorithm is used to obtain the congestion status labels of historical traffic flows and clustering centers of different traffic states, and the RBF neural network algorithm is used to predict short-time traffic flow parameters. The short-term traffic flow parameters predicted by the RBF neural network are brought into the result of the FCM clustering algorithm to obtain the short-term traffic congestion status label. In this way, the basic computational architecture of the fusion model is built through the implicit relationship between the traffic flow parameters and the traffic state. The results show that the classification results are more stable and effective after being trained by the FCM clustering algorithm. The RBF neural network has higher prediction accuracy than the control methods, and the relative error of the prediction results is basically less than 1.2%. The classification accuracy of the short-term traffic congestion state predicted by the FCM-RBF model reaches 95%, demonstrating the accuracy and reliability of the proposed model.
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    The effects of non-motorized traffic flow on thevisual behaviors of cyclists at intersections

    2023, 37 (3):  22-29. 
    Abstract ( 83 )   PDF (2147KB) ( 142 )   Save
    In order to study the effects of non-motorized traffic flow on the visual behaviors of cyclists at intersections, this paper conducts visual tracking experiments through an eye tracker under different traffic flow conditions. Eye movement data of e-bike riders at intersections are collected, such as eye movement time, the number of gaze, pupil change, and gaze point locations. The cyclists’ eye movement characteristics, visual load, gaze shift probability and gaze smooth probability are compared and analyzed.The results show that the number of cyclists’ gaze duration, gaze number and gaze sweep number at intersections increase with the number of non-motorized vehicles. The cyclists are divided into two groups according to non-motorized traffic flow, and the degrees of visual load and gaze behavior indexes of the cyclists in the peak group are significantly higher than those of the cyclists in the flat group, indicating that the risk perception ability of the cyclists under peak traffic flow conditions is enhanced. In terms of the probability of smooth gaze, the gaze shifting behavior of the peak group riders is concentrated and stable, while the flat group riders have a more flexible gaze shift pattern and are able to take into account of the traffic information on left and right sides. The results can provide theoretical support for non-motorized traffic safety research.
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    The low carbon control strategy for intersectionswithout right turn control for vehicles

    2023, 37 (3):  30-38. 
    Abstract ( 100 )   PDF (2254KB) ( 210 )   Save
    In order to reduce carbon emissions of an intersection without right turn control during a free passage of right turn vehicles, this paper proposes a time optimization scheme considering an intersection where vehicles turn right under a low carbon target.A carbon emission model is constructed where vehicles turning left or going straight pass through the intersection, the data are collected when pedestrians dissipate through the intersection, and the real pedestrian dissipation time is simulated by the random method.At the same time, a carbon emission model under the condition of a lack of right turning control is proposed by using the gap traffic theory. In order to solve this problem, an improved multi-strategy sparrow search algorithm is proposed. Compared with particle swarms and the sparrow search algorithm, carbon emissions per hour of this model are respectively 16.649 4kg and 8.359 4 kg lower during peak hours, and are also 6.805 5 kg lower than those of Webster algorithms.Compared with particle swarms and the sparrow search algorithm, carbon emissions per hour of this model are respectively 9.430 1 kg and 0.916 9 kg lower during normal hours, and are also 5.481 kg lower than those of Webster algorithms.
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    Study on the impact of ATIS on the resilience ofurban road traffic network after a disaster

    2023, 37 (3):  39-46. 
    Abstract ( 123 )   PDF (2177KB) ( 109 )   Save
    The post-disaster Advanced Traveler Information System(ATIS) can provide its users with traffic information in a timely manner, while non-ATIS users can only adjust their routes according to their own historical experience. In order to explore the road network resilience in a mixed scenario of two types of users, this paper introduces the dynamic time dimension into the resilience evaluation, constructs a mixed day-to-day dynamic flow distribution model of two types of users, proposes an ATIS information prediction method based on historical traffic, and designs a model solving algorithm. The simulation results show that, compared with the classical ATIS information prediction method, the average road network resilience supported by the proposed ATIS information prediction method increases by 2.48% in the research time domain.For the best road network resilience, the best ATIS market share is about 30%. When the market share of ATIS is 50%, 75% and 100%, the increase of ATIS information error improves the road network resilience value, while when the market share is 25%, the increase of ATIS information error reduces the road network resilience value.
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    Research on vehicle stability control based on real-timeimproved LTV-MPC

    2023, 37 (3):  47-56. 
    Abstract ( 169 )   PDF (2854KB) ( 187 )   Save
    Aiming at the real-time problem of vehicle stability control, this paper proposes an improved time-varying weight coefficient algorithm based on linear time-varying model predictive control (LTV-MPC) method to deal with inequality constrained optimization problems.The inequality constraint is taken as the penalty term of the objective function, and the weight coefficient of the penalty term is designed to change with the system state, which can directly solve the quadratic optimization problem with inequality constraint and avoid the iterative optimization process, thereby simplifying the calculation and improving the real-time performance of vehicle stability control.The simulation results show that the improved algorithm can not only handle inequality constraints, but also improve the real-time MPC control of vehicle stability.
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    Research on the multi-mode adaptive cruise control strategywith emergency braking

    2023, 37 (3):  57-68. 
    Abstract ( 93 )   PDF (3345KB) ( 110 )   Save
    In order to improve the adaptability of adaptive cruise control (ACC) of distribute delectric vehicles to sophisticated and volatile working conditions, this paper proposes a multi-mode adaptive cruise control strategy with emergency braking. Firstly, the ACC system is repartitioned into three main modes and four sub-working conditions by the upper-level controller to accommodate to complex working conditions. Whereafter, the cruising mode based on fuzzy PID and the follow-up mode of multi-objective control based on model predictive control (MPC) are devised. Then, the target wheel cylinder pressure is opted as the emergency braking pressure by the lower-level controller on the basis of the motor model. The simulation results indicate that the contrived multi-mode switching tactic effectively improves vehicle tracking and comfort, along with security in the face of emergency conditions, which verifies the availability and feasibility of the framed control strategy.
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    Research on the safety distance model consideringdifferent initial states of rear vehicles

    2023, 37 (3):  69-76. 
    Abstract ( 119 )   PDF (2667KB) ( 160 )   Save

    Establishing an accurate and reasonable evaluation model of driving safety status is one of the key technologies of the forward collision warning system. As the most classical evaluation model of driving safety status, safe distance has the advantages of universality and robustness. However, traditional safety distance models often assume the initial state of the rear car receiving the warning signal as uniform motion and rely solely on the analysis of vehicle kinematics to determine the safety distance. Due to the complex force situation and multiple influencing factors during vehicle braking, analyzing braking distance only from a kinematic perspective may reduce the accuracy of the model and thus affect the reliability of the warning system.

    To address these issues, this paper considers three different motion states of the rear car, including initial uniform motion, acceleration, and deceleration. Combining kinematics and dynamics methods, the force situation of a vehicle during each stage of the braking process is comprehensively analyzed for different initial states of the rear car. Longitudinal dynamic modeling is then conducted to establish safety distance models based on the front car’s stationary state, uniform or accelerated motion state, and emergency braking state. Simulation experiments are carried out to obtain the differences and variation patterns of the warning safety distance under different initial states of the rear car.

    The simulation results show that there are differences in the warning safety distance for the following vehicle’s initial acceleration/deceleration state and initial uniform motion state, and the difference size is related to the initial acceleration/deceleration value and driving speed of the following vehicle. The difference in the warning safety distance generated by different initial states of the following vehicle increases with an increase in the initial acceleration/deceleration value, with a distance difference of the front vehicle’s braking condition being the most significant of up to 18.69 m.When the following vehicle initially decelerates, the reduction rate of the warning safety distance can reach a maximum of 49.53% compared with the initial uniform motion state. Regardless of the initial state, when the following vehicle’s driving speed increases, the warning safety distance also increases. The difference in the warning safety distance still increases with an increase in the driving speed, but the relative increase/decrease rate of the warning safety distance in the initial acceleration/deceleration state decreases compared with the initial uniform motion state. When the following vehicle reaches a relatively high driving speed, the impact of different initial states on the warning safety distance becomes less significant.

    In summary, the following vehicle’s initial state is an important factor affecting the safety distance. By analyzing the different initial states of the following vehicle and combining kinematic and dynamic methods to model the safety distance with multiple factors, it is possible to more accurately determine the driving safety status, reduce the false alarm rate of the warning system, and improve the accuracy and coordination adaptability of the forward collision warning system.

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    Multi-objective optimization of a five-stroke enginebased on GT-power

    2023, 37 (3):  77-85. 
    Abstract ( 106 )   PDF (5299KB) ( 140 )   Save
    The unique secondary expansion stroke of a five-stroke engine improves thermal efficiency, and its unique performance characteristics make it suitable for range extenders.In order to explore the influence of timing and ignition time of a high/low pressure cylinder valve on the performance of a five-stroke engine, this paper establishes a one-dimensional model of a five-stroke engine based on GT-power, and uses the DOE tool to carry out a multi-objective optimization with the target of maximum power, minimum BSFC and minimum NOxemissions under limited torque conditions.The result indicates that properly increasing the valve overlap angle of the low pressure cylinder can reduce the exhaust flow loss and improve the efficiency of exhaust work.At last, each target value is optimized by 3.26%, 2.5% and 0.14% respectively.The application of multi-objective optimization to the parameter optimization of five-stroke engines ensures the variables in a feasible range realizes the improvement of multiple objectives.
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    Analysis of the influence of operating conditionsand piston-liner clearance on piston slap force

    2023, 37 (3):  86-92. 
    Abstract ( 82 )   PDF (2923KB) ( 127 )   Save
    To investigate the influence of operating conditions of an engine and piston-liner clearance on piston slap force, this paper builds a piston motion simulation model and an engine multi-body dynamics simulation model based on the EXCITE software.The characteristics of the piston secondary motion and the piston slap force are studied through the verified models. The models are also used to analyze the effects of operating conditions like engine speed and torque as well as piston-liner clearance. The results show that the piston secondary motion is most obvious near the top dead center of the compression stroke and the maximum value of piston slap force appears at the main thrust side. With the increase of the rotational speed, the piston inertial force increases, which makes the piston slap force increase. With the increase of the torque, the lateral force of the piston increases, which strengthens the piston slap force. The piston secondary motion intensifies with the increase of the piston-liner clearance and this contributes to the increase of the piston slap force.
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    Simulation analysis of cooling performance ofpassenger compartments based on AMESim

    2023, 37 (3):  93-100. 
    Abstract ( 136 )   PDF (3217KB) ( 323 )   Save
    This paper builds a one-dimensional simulation model by using AMESim simulation software according to the passenger compartment and battery thermal management circuit of a new energy vehicle. The continuous cooling process of the passenger compartment in three roof states are simulated and verified, including a panoramic skylight roof, a roof adding one layer of a sunshade and a roof adding two layers of sunshades; the whole process is conducted under three working conditions of low speed, high speed and idle speed. The simulation and test results show that the installation of a sunshade can effectively solve the problem that the cooling performance of the passenger compartment of a panoramic skylight vehicle is not up to the standard in a high temperature environment, which has reference value for practical research and development.
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    Machinery and materials

    A design method for multi-notched ultra wide bandmicrostrip antennas

    2023, 37 (3):  101-107. 
    Abstract ( 144 )   PDF (2218KB) ( 150 )   Save
    Ultra Wide Band (UWB) wireless communication technology works in a frequency band range of 3.1-10.6 GHz, which overlaps with the existing narrow system frequency band and easily causes inter-signal interference. In view of this, this paper proposes a method based on topological optimization to achieve notch design of UWB microstrip antennas in three specific frequency bands through the co-simulation of Matlab and HFSS. Using FR4 of 30 mm×40 mm×1mm as the dielectric substrate, the antenna configuration is designed by combining topology optimization and Gray Wolf Optimizer (GWO). The optimized configuration has a working bandwidth of 3.1-10.6 GHz, and a reflection coefficient S11>-10 dB in 3.1-3.76 GHz, 4.52-4.76 GHz and 7.12-8.27 GHz, which achieves 80% of the band resistance characteristics in the target band and effectively inhibits signal interference with WiMAX (World Interoperability for Microwave Access) and C band. The numerical example shows that the topology optimization method can be used to design multi-notched UWB microstrip antennas, which verifies the efficiency of the topology optimization method in the design of multi-notched UWB antennas, and expands the application of the topology optimization method in the field of antenna design.
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    Research on the virtual constraint control strategy ofgraded compensation of main-auxiliary arm for ship cranes

    2023, 37 (3):  108-118. 
    Abstract ( 75 )   PDF (3476KB) ( 143 )   Save
    During offshore crane operations, the movement of transhipment loads due to adverse sea conditions poses a hazard to nearby workers, or may cause damage to the loads themselves or the surrounding environment. It is a challenging task to control underdrive, the nonlinear system or stable load of a crane. The existing cargo transfer heave compensation equipment has some limitations, such as complex structure, limited compensation range and high cost. Aiming at this situation, this paper proposes a three-degree-of-freedom cantilever compensation mechanism, which combines with the main-auxiliary arm compensation algorithm to realize cargo transfer compensation. Firstly, the influence of crane system transfer under bad sea conditions is simulated and analyzed.Based on the three-degree-of-freedom cantilever compensation mechanism, the kinematics and dynamics model of ship cranes is then built. Finally, the swing compensation is realized through graded compensation control. The simulation results show that, with a compensation rate of as high as 75%, the proposed new compensation mechanism can significantly improve the stability of ship cranes under bad sea conditions, and the operating scope of ship cranes can be expanded.
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    Dynamic study on the suspension bridge model ofsingle-degree-of-freedom piecewise smoothness

    2023, 37 (3):  119-128. 
    Abstract ( 105 )   PDF (6382KB) ( 100 )   Save
    Affected by the fact that they are flexible but not strong enough, suspension bridges are less resistant to wind.When the wind speed reaches a certain scale, the bridge body may shake, flutter and even collapse. This paper analyzes the dynamic characteristics of a single-degree-of-freedom piecewise smooth suspension bridge model under wind loads, numerically simulates the bifurcation diagrams, attractors and attraction domains of the system under different parameters, and obtains multi-stable coexistence phenomena. The shooting method is used to calculate unstable periodic orbits of the system and observe the dynamic phenomena of crises, including internal and boundary crises.The numerical research results show that, under the same system parameters, multiple moving states may occur, and even the phenomenon of jumping directly from the unstable periodic motion state to the chaotic motion state may appear, which needs to be noted or avoided in the actual construction design, safety detection and failure warning.
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    A precise finite element mesh discretization methodof the tooth surface of high speed spur gears

    2023, 37 (3):  129-137. 
    Abstract ( 75 )   PDF (3332KB) ( 128 )   Save
     Finite element, as a common gear mesh simulation analysis method, is widely used in the study of gear dynamics performance. When the gear tooth surface is discretized by finite element grids, the grid size has a great influence on the correctness of the gear mesh finite element simulation results. In the gear meshing process, the contact between the gear teeth belongs to the contact between the two surfaces. The basic idea of surface finite element discretization is to use a finite number of grids to simulate a continuous smooth surface body, and to achieve the same discretization accuracy.The smaller the radius of curvature of the surface, the smaller the grid size is required. In addition, high linear speed spur gears have a high rotational speed, and the mesh of the tooth surface finite element has large centrifugal strength, which leads to impact vibration between meshes when the tooth surface finite element model is involved in meshing.The model has some error regarding the actual tooth surface contact. Therefore, in order to establish an accurate tooth contact finite element model, the key problem is to find an optimal multiplicative relationship between the tooth face finite element grid size and the tooth face radius of curvature at different rotational speeds. To solve the precise discretization problem of the finite element mesh of a high-speed spur gear tooth surface, this paper presents a method for selecting the tooth surface grid size. This method can adapt to the variation of the tooth surface sliding speed and the curvature radius during tooth meshing. Formulas of the curvature radius, tangential velocity, relative slip velocity and loads at any meshing point on the tooth profile are acquired according to the geometric and velocity vector relations to the main and slave gear tooth profile in the meshing process. Taking the transmission gear in an aero-engine under research as an example, the approximate range of parameters such as radius of curvature, tangential velocity, relative slip velocity, and loads on the high-speed gear tooth surface of the aero-engine is obtained through calculation. Based on this range, several sets of cylindrical roller surface contact finite element models are established with suitable curvature radius, different rotational speeds, contact surface grid size, and constant relative slip velocity and loads. The sliding energy generated by the contact of the two cylindrical rollers is used to simulate the sliding energy generated by the tooth contact. Finally, under the condition that the error between the simulation value and the theoretical value of the sliding energy is less than 10%, the optimal relationship between the tooth surface grid size and the tooth surface curvature radius at different tooth surface tangential speeds is obtained through analysis. The research results show that, when the maximum tooth surface tangential velocity is 0-25 m/s, the tooth surface grid size should be one fortieth of the minimum curvature radius of the tooth surface; when the maximum tooth surface tangential velocity is 25-40 m/s, the tooth surface grid size should be one seventieth of the minimum curvature radius of the tooth surface; when the maximum tooth surface tangential velocity is 40-55 m/s, the tooth surface grid size should be one hundred and tenth of the minimum curvature radius of the tooth surface. The simulation results of the finite element model obtained by using the above-mentioned tooth surface finite element grid discretization method have an error of less than 10% of the theoretical value.
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    Visual study on the effect of fuel injection strategies oncombustion characteristics of dual-fuel enginesunder cold conditions

    2023, 37 (3):  138-146. 
    Abstract ( 66 )   PDF (4738KB) ( 124 )   Save

    Reactivity controlled compression ignition (RCCI) is a clean and efficient combustion mode of internal combustion engine. At present, the research of RCCI is mostly studied under conventional conditions, and cold start is one of the important problems faced by the application of RCCI in automotive engines. Based on a dual-fuel optical engine, combined with high-speed imaging technology, this paper carries out a visual study of the effect of in-cylinder injection strategies on hydrogenated catalytic biodiesel (HCB)/gasoline RCCI combustion under cold conditions. Firstly, for gasoline port injection and HCB single direct injection strategy, an RCCI cold combustion test with different HCB injection timings (-30--15°CA ATDC) is carried out. The results show that, with the delay of injection timing, the ignition timing is delayed, and the peak of cylinder pressure and heat release rate first increase and then decrease. -25°CA ATDC is the optimal injection timing under the HCB single injection strategy, but the overall flame area is small and the light intensity is high, so the ignition and combustion characteristics need to be optimized.

    In view of the shortcomings of the HCB single injection strategy, an experimental study on the HCB double injection strategy is carried out. HCB main injection timing (-25--15°CA ATDC) and HCB pre-injection ratio (30%∶70%, 70%∶30%) are used as the control parameters. Compared with the optimal condition called S-25/100% under the HCB single injection strategy, the ignition timing is advanced and the peak points of cylinder pressure and heat release rate moveforward under the HCB double injection strategy. When the pre-injection ratio is 30% and the main injection timing is -25°CA ATDC, the combustion efficiency improves most significantly and the soot emission is low, which is the best condition under the HCB double injection strategy. Different HCB injection parameters have different effects on the process of combustion and the law of flame development. The pre-injection ratio has a significant impact on the combustion phase.The higher the main injection ratio is, the later the ignition timing is, the shorter the combustion duration is, and the more concentrated the heat release process is. The main injection timing has a significant impact on the flame development mechanism:the main injection timing is earlier, and the flame development is mainly due to spontaneous combustion from multiple points around the combustion chamber to the center; the main injection timing is delayed, and the flame development is mainly spread along the spray oil beam to the surrounding area.

    The HCB double injection strategy can more flexibly adjust the overall reactivity and local reactivity of the combustion chamber by changing the injection timing and ratio, thereby optimizing the combustion performance.Compared with the HCB single injection strategy, the RCCI cold combustion performance can be improved. In this experiment, the combustion characteristics and the law of flame development under different HCB injection strategies are analyzed, and the appropriate HCB injection timing and proportion are determined. It is expected that the cold ignition and combustion characteristics of RCCI can be improved by regulating the high active fuel injection strategy, which provides experimental basis for the promotion and application of RCCI combustion mode in engines in the future.

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    Influence of medium entropy alloy powder on microstructureand properties of aluminum/steel brazing joints

    2023, 37 (3):  147-154. 
    Abstract ( 36 )   PDF (4121KB) ( 206 )   Save
    This paper investigates the effects of medium entropy powder CoCrNi on the morphology and microstructure properties of aluminum/steel TIG brazing joints by coating and prefabrication. The results show that, when the side groove of the steel is coated with medium entropy alloy powder, there is an ellipsoidal unmelted CoCrNi particle layer that can be observed on the brazing surface. The gaps around the particles are filled with gray Al matrix and Al0.7Si3Fe0.3, and there is no obvious elemental diffusion of Al and Fe. The residual CoCrNi particles play a role of enhancing the phase to a certain extent, but the inhomogeneity of their size and distribution affects the flow of the liquid AlSi5welding wire, which leads to poor coverage of the back welding seam, with high weld reinforcement and unfused defects.Under the prefabricated condition, the CoCrNi powder melts and bonds well with the steel interface. Moreover, the fused metal spreads well on both aluminum and steel surfaces, and joints form well. With the interdiffusion of elements, an intermetallic compound (IMC) layer composed of Al0.7Si3Fe0.3,Co3Fe7, Fe(Cr, Ni) and Al0.9Ni1.1forms at the interface, with an average thickness of 3.15 μm. CoCrNi powder significantly reduces the formation of brittle IMC such as Fe-Al phases.Therefore, the tensile strength of the two methods is greater than that of the joint without adding medium entropy alloy powder, and the strength of the prefabricated medium entropy alloy powder is as high as 86 MPa. The maximum Vickers hardness of the joint coated with medium entropy alloy powder reaches 467HV, which is located on the side of the brazing interface near the weld. However, there is a softening zone on the steel side of the CoCrNi under the prefabrication mode, and the highest hardness Vickers is located on the steel side near the brazing interface, which is up to 248 HV.
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    Preparation and road performance of artificial aggregatefrom sewage sludge

    2023, 37 (3):  155-161. 
    Abstract ( 72 )   PDF (1593KB) ( 124 )   Save
    In order to explore the application of sewage sludge in road engineering, this paper prepares artificial aggregate of domestic sewage sludge and applies it to asphalt mixture. Firstly, the optimum preparation process of artificial aggregate of sewage sludge is determined by orthogonal tests, and its physical properties are tested. Then its mineral composition and microstructure are then studied by X-ray diffraction (XRD) and scanning electron microscope (SEM). Finally, the natural stone is replaced at a replacement rate of 30% to study the effect of sludge aggregate on the road performance of asphalt mixture. The results show that, under the optimum preparation process, the compressive strength of sludge aggregate is 29.47 MPa, which is lower than that of a natural stone. The water absorption rate is 0.26% and the apparent density is 2.64/cm3. There is a smooth enamel layer on the surface of the sludge aggregate, and the compactness of the green body is good, but the internal mineral crystal arrangement is scattered. Compared with AC-13 asphalt mixture, the sludge aggregate asphalt mixture has better high-temperature stability, but slightly lower low-temperature performance and water stability. The research results can promote the reuse of sewage sludge and the development of asphalt mixture.
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    Information and computer science

    Research on image retrieval methods based on saliency detection

    2023, 37 (3):  162-171. 
    Abstract ( 122 )   PDF (3914KB) ( 163 )   Save
     Aiming at a low accuracy of image retrieval in a large number of images, this paper proposes a two-stage image retrieval model NL-VG which combines significance detection and convolution neural network. Firstly, in the first stage of the model, a nonlocal depth feature (NLDF) model combined with the local feature map and the global feature map is used to detect the saliency. Secondly, VGG-16 convolutional neural network is used to extract feature vectors in the second stage, which are then matched with the established image retrieval database through the similarity measurement method and similar images are displayed. Finally, the interactive interface toolkit PyQt5 is used to design the image retrieval system to realize the retrieval task. In this paper, web crawler technology is used to obtain and preprocess images to construct data sets. All images on the data sets are detected by the two-stage saliency detection model to obtain the image feature database. The experimental results show that the map value of the retrieval algorithm proposed in this paper is 0.767, which is more accurate than that of SpoC and other algorithms, and the query results are more consistent with the query expectations.
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    Research on Web attack detection based on lightweightvocabulary cooperative memory focus processing

    2023, 37 (3):  172-182. 
    Abstract ( 74 )   PDF (2532KB) ( 102 )   Save
    A deep learning model is used to detect Web attacks and full HTTP texts are input to make the vocabulary larger, which causes model parameter overloads and increases storage costs. In addition, location uncertainty and semantic complexity of the attack payloads lead to a higher missing alarm rate. To solve the problems of model parameter overloads and missing attack payloads, this paper proposes a Web attack detection method based on the lightweight vocabulary cooperative memory focus processing model. Firstly, this novel method generates a lightweight vocabulary.Secondly, in combination with the preprocessing rules of the lightweight vocabulary, it preprocesses the HTTP texts according to the preprocessing rules likes aving, replacement, addition and discarding to reduce parameter overloads. Finally, this method uses a memory focus processing model based on bidirectional long and short term memory and the multi-head attention mechanism, which improves the memory ability and the focus processing ability of the attack loads to reduce the missing alarm rate. In the Simulation Dataset, the accuracy rate of this novel method is 98.66%, which is 3.19% higher than that of URL_WORD+GRU. Among the detected attack types, the lowest missing alarm rate is 0.60%. The experimental results demonstrate that the novel method can effectively alleviateparameter overloads, improve the detection accuracy and reduce the missing alarm rate.
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    Latent class analysis of the influencing factors ofthe willingness to use tidal lanes

    2023, 37 (3):  183-193. 
    Abstract ( 88 )   PDF (1694KB) ( 82 )   Save
    Using tidal lanes is an effective traffic organization method to solve tidal traffic congestion. It is of great significance to study the influencing factors of tidal lane usage intention. The researches on tidal lanes mainly focus on the theoretical innovation of its setting mode, the investigation and analysis of its implementation effect, traffic safety and other aspects, while the researches on the intention of using tidal lanes from personal and psychological levels are few. In order to study the influencing factors of drivers’ willingness, the latent class Logit model is used to explore the unobserved heterogeneity in the willingness. The psychological latent variables of the drivers’ tidal lane setting are obtained through questionnaires, and a structural equation model is used to quantify the psychological latent variables. The thesis compares and analyzes the fitting effect and heterogeneity effect of the latent class Logit model considering only personal attributes and added latent variables. Then, an average marginal effect analysis is performed. First of all, the basic principle of the model construction is expounded. Secondly, this paper designs a questionnaire, obtains data through the questionnaire survey, and conducts descriptive statistical analysis and data tests. Thirdly, the significantly influencing factors are screened, and the fitting effect and heterogeneity effect of the latent Logit model, which only considers personal attributes and added latent variables, are compared and analyzed.Parameter estimation and average marginal effect analysis are then carried out to provide reference for improving the efficiency of tidal lane use. The results show that: (1) Data are obtained from personal attributes, psychological latent variable attributes and scene hypothesis attributes, and insignificant factors are eliminated. The latent Logit model with added psychological latent variables screens out the variables such as an age of 18-29 years old, those who are below a college degree, those who have children, those who own a car, driving for 0 years, driving for more than 5 years, frequent driving, robust driver, behavior attitude, perceived risk, social influence, travel time and isolation facilities having significant effects on dependent variables. (2) Compared with the Logit model which only considers personal attributes, the latent Logit model with psychological latent variables has better fitting effect and heterogeneity effect. For each additional level of attitude, the probabilities of choosing to use the tidal lane and taking a detour increase by 4.59% and 9.33%. For each additional level of social influence, the probabilities of choosing the tideway and detour increase by 16.00% and 11.92%. With the improvement of drivers’ behavior attitude and social influence on the tidal lane, more drivers will choose to use the tidal lane. (3) The latent Logit model divides data into three categories, accounting for 11.2%, 11.5% and 77.3% respectively. Owning a car, driving for more than 5 years and the perceived risk show significant heterogeneity. (4) With each increase of the perceived risk level, the probabilities of choosing to use the tidal lane and detour other roads decrease by 20.13% and 24.1%, while the probability of choosing to drive only in the conventional lane increases by 22.83%. As the perception of the risk of tidal lanes increases, more drivers will choose to drive only in the conventional lanes. It provides reference for improving the efficiency of tidal lane use.
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    Classification and prediction research of strokebased on deep reinforcement learningwith feature dimension reduction

    2023, 37 (3):  194-203. 
    Abstract ( 138 )   PDF (3257KB) ( 179 )   Save
    In consideration of redundancy in stroke screening datasets and poor effect of the traditional classification algorithm, in order to realize efficient diagnosis and prediction of stroke screening data, this paper establishes an optimization model of classification and prediction based on deep reinforcement learning with mixed feature dimension reduction. Firstly, an improved feature selection algorithm for CFS combined with PCA is proposed to reduce the feature dimension of the original stroke screening datasets. Secondly, a deep reinforcement learning classification prediction model is constructed based on Double DQN and Dueling DQN algorithms, and a more robust loss function is introduced to optimize the model, which improves the classification effect of the model. Finally, compared with the experimental results of Na?ve Bayes, J48, SVM, KNN and DQN models in public datasets and stroke screening datasets, the proposed model exhibits superiority in feature dimension reduction and classification prediction, and its classification accuracy is higher than that of the comparison algorithm in stroke screening datasets. It can be used to provide suggestions for auxiliary diagnosis of cerebral apoplexy.
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    Prediction research of SARIMA-LSTM combination modelin the short-term railway passenger flow during epidemics

    2023, 37 (3):  204-211. 
    Abstract ( 96 )   PDF (2817KB) ( 132 )   Save
    Aiming at the huge disturbance caused by sudden public health events such as the COVID-19 to the short-term railway passenger flow, this paper constructs a combination model based on SARIMA-LSTM to analyze the daily passenger flow curve of the periodic and seasonal non-stationary time series during Spring Festival transportation under the epidemic situation.The SARIMA model is used to predict the linear part, and the LSTM rolling optimization model is used for nonlinear prediction. Finally, the two prediction results are put into the weighted sum of the attention mechanism module, and the GRU gated loop unit is introduced to assist the verification. The analysis shows that the prediction results of SARIMA-LSTM combination model have good control and high accuracy, which can provide theoretical basis for the prediction of the short-term passenger flow data set of epidemic emergencies.
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    Research on predictive control of the surface cooling systemusing KMedoids equilibrium optimization

    2023, 37 (3):  212-221. 
    Abstract ( 98 )   PDF (1887KB) ( 96 )   Save
    According to the environment variables of outdoor temperature and relative humidity, this paper uses the Extreme Learning Machine (ELM) to build an indoor temperature and humidity prediction model of the air conditioning surface cooling system to solve its coordinated valve control problem.The number of hidden layer nodes of ELM is optimized by using the Fibonacci search algorithm. The Fibonacci extreme learning machine (FELM) is proposed to improve the accuracy of the prediction model.The traditional equilibrium optimization (EO) algorithm has a slow convergence speed and is easy to fall into local minima.The KMedoids clustering algorithm is embedded into the equilibrium optimization algorithm to improve the performance of the optimization algorithm.Then, the KMedoids equilibrium optimization (KEO) algorithm is used to conduct rolling optimization of the control quantity of the three valves of the surface cooling system, such as the opening of the main surface cooling valve, the auxiliary surface cooling valve and the electric three-way valve. The simulation results show that, compared with the traditional ELM predictive control algorithm, KEO-FELM predictive control has higher stability and tracking abilities with better energy-saving effect.
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    Electrical and electronic

    Literature review of Vehicle-to-Grid application progress

    2023, 37 (3):  222-229. 
    Abstract ( 172 )   PDF (1662KB) ( 438 )   Save
    From the perspectives of power grids and electric vehicle users, this paper introduces the application status of Vehicle-to-Grid (V2G) at home and abroad, and analyzes the negative impact and the change of load prediction of the V2G technology on the grid side. Two factors that motivate EV users to participate in V2G are discussed: one is TOU price, and the other is battery loss, and a conception of guiding V2G is put forward. Future EV applications in renewable energy and virtual power plants are then explored. Finally, the existing difficulties in the practical application of V2G are summarized and the prospect is put forward.
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    Research on path planning of AUV based on the intervalmulti-objective quantum particle swarm optimization algorithm

    2023, 37 (3):  242-250. 
    Abstract ( 121 )   PDF (2456KB) ( 142 )   Save
    To solve the path planning problem of autonomous underwater vehicles under the condition of inaccurate ocean current prediction and uncertain position information of danger sources, this paper proposes a global path planning method based on the interval multi-objective quantum particle swarm optimization algorithm. The uncertainty ranges of both ocean currents and danger source positions are expressed as interval numbers and the sailing time interval and danger interval of each path are calculated. Based on the interval possibility model, the dominant relationship between intervals is defined, the interval overlap degree and the interval volume are introduced to calculate the interval crowding degree to sort the optimal solutions, an external reserve set is established to save the optimal solution set, and the path position is optimized through the quantum particle swarm optimization algorithm. The simulation results show that, compared with the conventional multi-objective path planning algorithm, the proposed algorithm can find a set of paths with diversified distribution under the condition of multiple uncertain constraints.
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    Mathematics·Statistics

    Well-posedness and regularity of Schrödinger equationwith fourth order variable coefficients

    2023, 37 (3):  251-258. 
    Abstract ( 78 )   PDF (1125KB) ( 92 )   Save
    This paper studies the well-posedness and regularity of Schr?dinger equation with variable coefficients.Under Dirichlet boundary control and collocated observation, it is proved that, with the help of the multiplier method on Riemannian manifolds, the system is well-posedness in the sense of D.Salamon and regular in the sense of G.Weiss.The feedthrough operator is found to be zero.
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    On the cone theorem in the dual space

    2023, 37 (3):  259-263. 
    Abstract ( 109 )   PDF (1083KB) ( 98 )   Save
    The cone theorem is one of the fundamental theorems of the minimal model program (MMP). The theorem states that the part of Mori’s cone whose intersection numbers are negative with the canonical divisor is locally generated by finite extremal rays.In the dual space, the cone theorem can be described in terms of divisors, which means the visible boundary of the nef cone with respect to the canonical divisor is a rational polytope, and those extremal rays correspond to the faces of the rational polytope. The dual cone theorem can be proved by assuming the finite generation of the canonical rings. By observing the above duality, a more geometric proof of the dual cone theorem is given without assuming the finite generation of the canonical rings.
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    Energy, power and environment

    A traffic sign recognition methodbased on ResNet and transfer learning

    2023, 37 (3):  264-273. 
    Abstract ( 187 )   PDF (3976KB) ( 237 )   Save
    In view of time-consuming training and low accuracy of the traditional traffic sign recognition algorithms, this paper proposes a traffic sign recognition model based on ResNet and transfer learning. Firstly, the ResNet network weight trained on ImageNet image data set is introduced into the model, the parameters of the convolutional layer are frozen, and the network is used as the feature extractor of the model. Secondly, a fully connected layer is designed for the model, and the parameters of the fully connected layer are fine-tuned by using the data sets of different sizes and the data sets before and after data augmentation. Then, different sizes of learning rates are set, and the model is trained under two conditions of fixed learning rate and decaying learning rate. Finally, the model is tested on the test set and the classification results are output.The test results show that the recognition accuracy of traffic signs by this method is 97.60%, and the F1 score of the three classes of traffic signs reach 96.86%, 99.37% and 96.53% respectively, including mandatory signs, warning signs and prohibition signs, which shows that the model has a high recognition accuracy of traffic signs.
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    Mathematics·Statistics

    Study on safety distance of bridge-tunnel transitionsections considering drivers’ psychologicaland physiological parameters

    2023, 37 (3):  274-281. 
    Abstract ( 80 )   PDF (2662KB) ( 68 )   Save

    This paper aims to improve safety and driving comfort on the sections between bridges and tunnels. The paper collects the driver’s physiological response parameters, speed and other data through actual vehicle tests, and analyses the safety distances between bridges and tunnels on highways based on the driving behaviors from the data collected. The main content of the paper is as follows.

    Firstly, the paper introduces wavelet theory. The paper argues that when the driver’s heart rate is used as the physiological response parameter, a noise reduction method is required. This method is chosen to reduce the noise of the original signal and to make the periodicity of the heart rate signal more apparent. The use of appropriate data processing methods will effectively reduce the difficulty of data analysis and increase the efficiency of analysis.

    The paper then presents some real-life experiments based on actual sections between bridges and tunnels. For the bridge and tunnel sections, data on speed, heart rate increase and lighting levels are collected. These data form the basis of the subsequent analysis of the driver’s physiological response parameters. This method of experimentation can be further applied to testing the physiological response parameters of drivers on other roads.

    The paper again analyses the relationship between heart rate increase and illumination at the tunnel entrance and obtains a model of the relationship between the heart rate increase and the illumination change rate.It also analyses the speed characteristics of the sections between bridges and tunnels and obtains a model of the relationship between driver heart rate increase and speed on these sections. These models will be useful to stakeholders in determining whether it is safe for vehicles to travel on the sections between bridges and tunnels.

    Finally, the paper proposes a calculation method for the safe distance of the transition sections between bridges and tunnels with different connection forms based on a comprehensive consideration ofspeed and heart rate increase and determines the minimum safe distance values for transition sections. The conclusions of the paper provide a theoretical reference for route design and traffic safety management of motorway bridge and tunnel sections.

    In summary, the paper proposes a method for calculating safe distances between bridges and tunnels using wavelet theory and velocity consistency theory. The heart rate increase is chosen as the cardiac physiological index of the driver, and the effect of light and speed on the changes in the driver’s physiological response parameters is investigated through real vehicle driving tests. This method of road safety assessment, which takes into account of the driver’s psychological and physiological responses, can be used as a reference to improve the safety of sections between bridges and tunnels on motorways to a certain extent.

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    Energy, power and environment

    Removal of lead from soil by single and compound washingand their mechanism

    2023, 37 (3):  282-290. 
    Abstract ( 138 )   PDF (3519KB) ( 90 )   Save
    To explore the effect of environmentally friendly organic acids on the washing repair effect and washing mechanism of lead-contaminated soil, this paper investigates the effect of eluent on the lead elution effect in soil under different parameters (concentration, liquid-to-solid ratio, time, pH value) by oscillating washing method, and conducts compound washing of citric acids and malic acids under optimal conditions. The results show that the removal rates of lead by single washing of citric, malic and tartaric acids are 76.87%, 69.73% and 61.39% respectively. When the compound ratio of citric and malic acids is 3∶2, the washing rate of lead is as high as 87.31%, and the washing toxicity concentration of lead in soil reduces to 3.71 mg/L after compound washing, which is lower than the identification standard value of hazardous waste. The results of the mechanism analysis show that compound washing can effectively reduce the content of extractable state, reducible state and oxidizing state in the weak acids of the lead-contaminated soil, increase the content of the residuary fraction, and reduce the subsequent environmental risks.Possible mechanisms of Pb removal by compound washing include acid dissolution, ion exchange, and surface complexation. The compound of citric and malic acids is an efficient and environmentally friendly washing agent, which provides a reference for the remediation of lead-contaminated soil in the future.
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    CFD simulation of a new rotating biological contactorused to treat sewage from pig farms

    2023, 37 (3):  291-296. 
    Abstract ( 80 )   PDF (2680KB) ( 111 )   Save
    In this paper, computational fluid dynamics (CFD) technology is used to numerically simulate the flow characteristics of a new rotating biological contactor for sewage treatment in pig farms. The results show that the new rotating biological contactor can increase the distribution surface of the biofilm, improve its sewage purification area, increase its own utilization rateand achieve better sewage purification. The rotating speed of 6rpmis more conducive to the gas-liquid two-phase contact than that of 3 r/min.
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    Thermal dissipation performance analysis of themicro-channelcold plates for lithium batteries

    2023, 37 (3):  297-304. 
    Abstract ( 280 )   PDF (4080KB) ( 400 )   Save
    In order to meet the heat dissipation requirements of the electric vehicle battery system, this paper designs a micro-channel cold plate structure.Fluent is used to simulate and analyze the designed cold plate, and the effects of different coolant flow rate, channel width and height on heat dissipation, average temperature and energy consumption of the plate are compared and studied. The results indicate that when the mass flow rate is 4 g/s, the maximum battery pack temperature and maximum temperature difference decrease to 28.6 ℃ and 2.1 ℃ respectively. When the mass flow rate is higher than 4 g/s, heat dissipation performance of the cool plate improves slightly and energy consumption increasese normously. The increase of channel width and height reduces thermal dissipation performance and increases energy consumption of the system, but its temperature uniformity performance improves. The arrangement of the enhanced heat transfer structure further improves the thermal dissipation performance of the liquid cooling plate, which significantly improves the temperature uniformity of the battery pack. The turbulence mechanism 3 reduces the maximum temperature and maximum temperature difference of the battery pack by 0.79 ℃ and 0.19 ℃ respectively.The conclusions provide a theoretical direction for the structural design and optimization of liquid cooling plates.
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    Wet capture and removal of coal ash from coal-fired powerplants in a water-sparged aerocyclone

    2023, 37 (3):  305-311. 
    Abstract ( 65 )   PDF (1295KB) ( 97 )   Save
    Aiming at the issues of low removal efficiency and high treatment cost of traditional dust removal equipment, this paper proposes a piece of supergravity separation equipment, water-sparged aerocyclone (WSA), for removal of particles from coal-fired power plants. The effects of initial dust concentration, liquid jet velocity, inlet air velocity and other operational factors on WSA dust removal efficiency are investigated.The results show that the removal efficiency of WSA for fine particles with a particle size larger than 1.5 μm can reach 99.40%, and it increases with the increase of the initial dust concentration, the liquid jet velocity, and the inlet air velocity. Meanwhile, a larger inlet air velocity also causes the pressure drop of the gas phase to rise significantly. The element detection before and after capture shows that fly ash particles contain Cr, As, Hg and other heavy metals, with an average removal rate of toxic heavy metals of 98.85%. The removal of dust particles by the wet capture method in the WSA can effectively reduce the risk of toxic pollution of heavy metals in the dust.
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    “23rd International Conference of Fluid Power and Mechatronic Control Engineering” Special Column

    The improved YOLOv4 algorithm for broad beansprout detection and TensorRT acceleration

    2023, 37 (3):  312-320. 
    Abstract ( 129 )   PDF (3255KB) ( 185 )   Save
     This paper proposes a lightweight broad bean sprout detection method based on the improved YOLOv4 network.The original backbone network CSPDarknet53 of YOLOv4 is replaced by the MobileNet network, and, after it is replaced by depthwise separable convolution, ordinary convolution of the feature extraction network and the prediction layer is strengthened. After being improved by network training, the network structure is reconstructed and optimized by using NVIDIA acceleration engine TensorRT, the GPU operation efficiency improves, and inference and acceleration of the model on the embedded platform are realized. The experimental results show that the improved network volume reduces to approximately 20% of the original volume, with a reduction of AP by only 3.14%, but the detection speed is 4 times that of the original network. On the Jetson Nano embedded platform, the inference speed of the improved network model reaches 20.3 FPS, which shows the proposed network model can contribute to the real-time application of the deep learning model on the embedded platform.
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    Parametric simulation for control characteristicsof servo systems for launch vehicles

    2023, 37 (3):  321-330. 
    Abstract ( 72 )   PDF (4700KB) ( 135 )   Save
    This paper is aimed at the rapidly optimal design and precise simulation requirements of servo systems for launch vehicles, and develops a generically parametric simulation platform using Matlab software. The basic model libraries of electro-hydraulic actuators, electro-hydrostatic actuators and electro-mechanical actuators are established so as to generate a simulation model of control characteristics of the servo systems quickly according to model creation and parameter configuration modules. Through the parameter design and analysis modules, the simulation analysis of the control characteristics of the servo systems is quickly carried out, and the parameter influence analysis module is used to quickly obtain the optimal design. The parametric simulation method realizes the standardization of the simulation model and simulation process, and significantly improves the efficiency and accuracy of the simulation analysis of the control characteristics of the servo systems. The engineering practice shows that the simulation analysis results are in good agreement with the test results, and thus it has an excellent prospect of engineering application.
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    Performance evaluation of an active knee-assisted exoskeleton

    2023, 37 (3):  331-340. 
    Abstract ( 134 )   PDF (2591KB) ( 212 )   Save
    This paper presents a set of test methods for evaluating the performance of active knee-assisted exoskeleton. A motor-driven assist model is established to calculate the theoretical assist efficiency of exoskeleton knee joints.Six healthy examinees are selected to measure comprehensive metabolic indexes of the human body and lower limb muscle activity under the condition of wearing and not wearing exoskeleton.The results of the comprehensive metabolic cost test of the human body showthat, compared with the experiment without wearing the exoskeleton, examinees wearing the exoskeleton see an increase of oxygen consumption of the human body by 3.21% on average, an increase of exhalation of carbon dioxide by 1.27% on average, and an increase of net metabolic power per unit mass by 2.80% on average. The results of the lower limb muscle activity test show that, compared with the experiment without exoskeleton, wearing exoskeleton can effectively reduce the muscle activity of rectus femoris, vastus lateralis and vastus medialis. A controlled weight-bearing test is designed, and the results prove that the weight of the exoskeleton itself cannot be ignored, which increases the comprehensive metabolic cost of the examinees.The exoskeleton can effectively reduce the activity of the wearer’s lower limb muscles, which is basically in line with the theoretical assisting efficiency of exoskeleton knee joints, and the overall power-assisting efficiency is not obvious due to the weight of the wearer.
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    Analysis of oil pipeline leakage characteristicsconsidering heat treatment

    2023, 37 (3):  341-347. 
    Abstract ( 61 )   PDF (3515KB) ( 98 )   Save
    In order to more accurately detect pipeline leakage and predict the impact of leakage on pipelines, considering the influence of oil heating treatment, this paper analyzes the flow field characteristics of tiny leaks with different pore diameters in oil pipelines, and establishes simulation models with different pore diameters. It also analyzes the influence of heat treatment on the leakage flow field, and judges the necessity of heat treatment. Under the condition of heat treatment, the characteristics of the leakage flow field with different pore diameters are compared and the variation rule of the flow field is analyzed. The research results show that heat treatment will lead to changes in the viscosity of oil, and then bring significant changes to the pressure and flow rate of oil pipeline leakage holes, so it is necessary to consider the influence of heat treatment on leakage.Under heat treatment conditions, the three small leaks with different pore diameters have little effect on the flow field characteristics inside the pipeline, but at the leak hole, with the increase of the pore diameter, the pressure decreases and the flow rate increases.
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    Research on nonlinear modeling and gap compensationcontrol of the servo loading system

    2023, 37 (3):  348-356. 
    Abstract ( 94 )   PDF (3601KB) ( 168 )   Save
    This paper analyzes the influence of mechanical clearance error on the displacement, load pressure and flow rate of the hydraulic cylinder of the servo loading system. The compensation control method of the mechanical clearance error of the servo loading system is then proposed. In addition, a nonlinear model of the servo loading system under the influence of the mechanical clearance error is established. Finally, the Simulink simulation and system experiments are implemented to verify the accuracy of the nonlinear model of the servo loading system and the mechanical clearance compensation method.It can be seen from the experimental results that the accuracy error of the output load force reduces from 18% to 10% under low speed and small load conditions, and from 21% to 8% under high speed and large load conditions. The hysteresis error of the output load force of the servo mechanism of the tested products in the whole stroke is basically eliminated.
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