重庆理工大学学报(自然科学) ›› 2023, Vol. 37 ›› Issue (2): 316-323.doi: 10.3969/j.issn.1674-8425(z).2023.02.035

• “第 23届流体动力与机电控制工程国际学术会议”专栏 • 上一篇    下一篇

SMA驱动手指康复机器人模糊自适应控制方法研究

王扬威, 吕佩伦, 郑舒方   

  1. (东北林业大学 机电工程学院,哈尔滨 150040
  • 出版日期:2023-03-21 发布日期:2023-03-21
  • 作者简介:王扬威,男,博士,高级工程师,主要从事康复机器人、智能控制技术研究,Email:wang.yangwei@nefu.edu.cn。

Research on the fuzzy adaptive control method for SMA-driven finger rehabilitation robots

  • Online:2023-03-21 Published:2023-03-21

摘要: 针对形状记忆合金(shapememoryalloy,SMA)丝驱动手指康复机器人弯曲角度难 以精确控制的情况,提出一种模糊自适应 PID控制算法,该方法基于手指康复机器人的运动学 模型和合金丝驱动模型,利用电阻映射的弯曲角度反馈,采用模糊自适应参数实现位置控制。 搭建手指康复机器人实验测试平台,分别采用传统 PID和模糊自适应 PID控制方法对食指进行 位置控制实验,并分析稳定后食指各关节位置的控制效果。研究结果表明与传统 PID控制算法 相比,模糊自适应控制算法相比于 PID控制达到角度稳态时间提高 2~3s,调节时间更短,位置 误差 2°,在外界扰动条件下能在 3s内完成自适应调节,具有较强的鲁棒性,能够更好地补偿 SMA相变过程中的迟滞问题,证明了方法的有效性。

关键词: 手指康复机器人, 形状记忆合金丝 , 模糊自适应, 位姿控制

Abstract: Aiming at the problem that it is difficult to accurately control the bending angle of a finger rehabilitation robot driven by a shape memory alloy (SMA) wire, this paper proposes a fuzzy adaptive PID control algorithm. Based on the kinematics model and the alloy wire drive model of a finger rehabilitation robot, this method utilizes the bending angle feedback of resistance mapping and adopts fuzzy adaptive parameters to realize position control. An experimental test platform for finger rehabilitation robots is built, the traditional PID and fuzzy adaptive PID control methods are used to conduct position control experiments on the index finger, and position control effects of each index finger joint after stability are analyzed. The research results show that, compared with the traditional PID control algorithm, the fuzzy adaptive control algorithm takes 2~3 s longer to reach the angle steady state time, the adjustment time is shorter, the position error is 2°, and the adaptive adjustment can be completed within 3 s under external disturbance conditions. The proposed method has strong robustness and can better compensate the hysteresis in the SMA phase changing process, which proves its effectiveness.

中图分类号: 

  • TP24