华南理工大学学报(自然科学版) ›› 2010, Vol. 38 ›› Issue (8): 56-60.doi: 10.3969/j.issn.1000-565X.2010.08.011

• 机械工程 • 上一篇    下一篇

孔群钻削机械手的运动规划和加工路径优化

邹焱飚 张铁 陈伟华   

  1. 华南理工大学 机械与汽车工程学院, 广东 广州 510640
  • 收稿日期:2010-03-26 修回日期:2010-05-25 出版日期:2010-08-25 发布日期:2010-08-25
  • 通信作者: 邹焱飚(1971-),男,博士,讲师,主要从事机器人理论及其工程应用研究. E-mail:ybzou@scut.edu.cn
  • 作者简介:邹焱飚(1971-),男,博士,讲师,主要从事机器人理论及其工程应用研究.
  • 基金资助:

    国家“863”计划重点项目(2009AA043901);华南理工大学中央高校基本科研业务费资助项目(20092M0304)

Motion Planning and Path Optimization of Manipulator for Holes Machining

Zou Yan-biao  Zhang Tie  Chen Wei-hua   

  1. School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510640, Guangdong, China
  • Received:2010-03-26 Revised:2010-05-25 Online:2010-08-25 Published:2010-08-25
  • Contact: 邹焱飚(1971-),男,博士,讲师,主要从事机器人理论及其工程应用研究. E-mail:ybzou@scut.edu.cn
  • About author:邹焱飚(1971-),男,博士,讲师,主要从事机器人理论及其工程应用研究.
  • Supported by:

    国家“863”计划重点项目(2009AA043901);华南理工大学中央高校基本科研业务费资助项目(20092M0304)

摘要: 为提高加工效率,对用于钢琴弦轴板孔群钻削加工的三轴直角坐标机械手的运动规划和加工路径优化方法进行了研究.首先采用抛物线过渡的线性插值算法对钻削过程进行运动规划,生成一条位置和速度都连续的平滑运动轨迹.然后以最短加工路径为目标,以无碰撞地绕过所有障碍物为约束条件,建立了孔群加工路径规划问题的数学模型,并采用分层优化的遗传算法获得了孔群加工的优化路径.最后以6种型号弦轴板为例进行计算,结果验证了算法的有效性.

关键词: 运动规划, 遗传算法, 路径优化, 旅行商问题

Abstract:

In order to improve the processing efficiency, the motion planning and path optimization of a three-axis Cartesian coordinate manipulator, which is designed for the drilling of holes in piano chord axis plates, are investigated. In this investigation, the linear interpolation algorithm with parabolic transition is applied to the motion planning of the drilling, and a smooth trajectory with continuous position and velocity is generated. Then, a mathematical model describing the path planning for holes machining is established, with the shortest processing path as the object and with a collision-free way to bypass all the obstacles as the constraint. Moreover, a multi-layer genetic algorithm is used to find the solution to the mathematical model. Finally, six types of piano chord axis plates are used for algorithm verification. The results verify the effectiveness of the proposed algorithm.

Key words: holes machining, motion planning, genetic algorithm, path optimization, traveling salesman problem