欢迎访问机床与液压官方网站!

咨询热线:020-32385312 32385313 RSS EMAIL-ALERT
基于改进蚁群算法的打磨机器人路径规划
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

江西省重点研发计划项目(20181ACE50034)


Path Planning of Polishing Robot Based on Improved Ant Colony Algorithm
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    针对打磨机器人在复杂空间中路径规划时存在收敛速度慢、容易陷入局部最优等问题,提出一种基于改进蚁群算法的打磨机器人路径规划方法。建立打磨机器人D-H连杆模型,进行正逆运动学分析以及计算验证;提出一种改进的信息素更新方法,将新的自适应计算方法应用于状态转移规则,并通过引入阻尼系数ξ改进启发式信息函数;在MATLAB中进行模拟仿真实验,得到改进蚁群算法最佳参数组合。结果表明:相对于基本蚁群算法,所提出的改进蚁群算法从起点到终点的最短路径长度平均减少14.3%,迭代次数平均减少55.3%;结合打磨机器人刀具位置等特点,可以获得路径长度最短且平滑的运动曲线。所提方法可有效解决打磨机器人三维路径规划问题。

    Abstract:

    In the view of the problems of slow convergence speed and easy to fall into local optimum when polishing robot path planning in complex space,a path planning method for polishing robot based on improved ant colony algorithm was proposed.The polishing robot D-H connecting rod model was established,forward and inverse kinematics analysis and calculation verification were carried out;an improved pheromone update method was proposed,the new adaptive calculation method was applied to the state transition rule,and by introducing the damping coefficient ξ,the heuristic information function was improved;a simulation experiment was carried out in MATLAB to find the best parameter group for the improved ant colony algorithm.The results show that compared with the basic ant colony algorithm,the shortest path length from the starting point to the end point of the proposed improved ant colony algorithm is reduced by an average of 14.3%,and the iterations number is reduced by an average of 55.3%;combined with the tool position of the grinding robot,the shortest and smooth path can be obtained.The proposed method can be used to effectively solve the problem of 3D path planning of the grinding robot.

    参考文献
    相似文献
    引证文献
引用本文

蔡改贫,陈永康,周小云,李宇达,曾常熙.基于改进蚁群算法的打磨机器人路径规划[J].机床与液压,2022,50(9):48-54.
CAI Gaipin, CHEN Yongkang, ZHOU Xiaoyun, LI Yuda, ZENG Changxi. Path Planning of Polishing Robot Based on Improved Ant Colony Algorithm[J]. Machine Tool & Hydraulics,2022,50(9):48-54

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2022-05-31
  • 出版日期: 2022-05-15