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基于遗传算法的Stewart并联机器人位置正解分析

郑春红;焦李成

  

  1. (西安电子科技大学 雷达信号处理重点实验室,陕西 西安 710071)

  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2003-04-20 发布日期:2003-04-20

Forward kinematics of a general Stewart parallel manipulator using the genetic algorithm

ZHENG Chun-hong;JIAO Li-cheng

  

  1. (Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an 710071, China)
  • Received:1900-01-01 Revised:1900-01-01 Online:2003-04-20 Published:2003-04-20

摘要: 充分利用Stewart并联机器人位置反解容易获得这一特性,把较难的Stewart并联机器人位置正解问题转化为一个优化问题,考虑到遗传算法的全局优化特性,提出了基于遗传算法的Stewart并联机器人位置正解方法. 仿真实例证明了所提方法具有很高的计算精度,彻底克服了采用数值解法求解Stewart并联机器人位置正解时,解的精度受初值影响较大的缺点.

关键词: 并联机器人, 位置正解, 位置反解, 遗传算法

Abstract: By making full use of the property that it is easy to obtain the inverse kinematics of the Stewart parallel manipulator, the forward kinematics of the Stewart parallel manipulator is transformed into an optimal problem, and a real coded genetic-based forward kinematics method for the general Stewart parallel manipulator is proposed in this paper. The feasibility of the genetic based forward kinematics method is illustrated with the Stewart fine tuning platform for he next generation large radio telescopes. The high accuracy of the forward kinematics is obtained, which has overcome the shortcoming that the accuracy of the forward kinematics is susceptible to the initial guess values with the conventional numerical methods.

Key words: parallel manipulator, forward kinematics, inverse kinematics, genetic algorithm

中图分类号: 

  • TP242