重庆理工大学学报(自然科学) ›› 2023, Vol. 37 ›› Issue (3): 242-250.

• 电气·电子 • 上一篇    下一篇

基于区间多目标量子粒子群算法的 AUV路径规划研究

顾加烨,齐 亮   

  1. 江苏科技大学 电子信息学院,江苏 镇江 21210
  • 出版日期:2023-04-26 发布日期:2023-04-26
  • 作者简介:顾加烨,男,硕士研究生,主要从事水下机器人路径规划研究,Email:gu_jia_ye@163.com;通信作者 齐亮,男,博 士,教授,主要从事船舶自动化研究,Email:alfred_02030210@just.edu.cn。

Research on path planning of AUV based on the intervalmulti-objective quantum particle swarm optimization algorithm

  • Online:2023-04-26 Published:2023-04-26

摘要: 为解决海流预测不精确和危险源位置信息不确定情况下自主水下航行器的路径规 划问题,提出了一种基于区间多目标量子粒子群算法的全局路径规划方法。将海流的不确定范 围和危险源位置的不确定范围表示为区间数,计算各条路径的航行时间区间和危险度区间。基 于区间可能度模型定义区间之间的占优关系,引入区间重叠度和区间体积计算区间拥挤度对最 优解进行排序,建立外部储备集保存最优解集,通过量子粒子群算法优化路径位置。仿真结果 表明:相对于常规的多目标路径规划算法,所提出的算法可在含有多个不确定约束的条件下找 到分布多样化的一组路径

关键词: 自主水下机器人, 路径规划, 不确定性, 区间多目标优化

Abstract: 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.

中图分类号: 

  • :A24