n-DOF机械臂反馈控制拓扑及基于粒子群算法的末端执行器最优定位

Soumyendu Banerjee, G. Singh
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引用次数: 0

摘要

本文提出了一种基于粒子群算法的n自由度机械臂最优控制方法。基于任意机器人模型,利用四个Denavit-Hartenberg (DH)参数计算末端执行器的最终位置,并通过正运动学将其与每个连杆关联起来。实现了一种反馈控制拓扑,该拓扑在三维笛卡尔空间内减小了粒子群每次迭代中期望末端执行器位置与得到的末端执行器位置之间的平方和误差。该算法为旋转关节和移动关节提供连杆参数的优化值,即关节角和连杆长度,从而使末端执行器完美地定位在期望的坐标上。该算法在MATLAB/Simulink中成功实现,并在任意n-DOF机械臂上进行了测试,在末端执行器的控制和定位上取得了满意的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Feedback Control Topology of n-DOF Robotic Manipulator and Optimal Positioning of End-Effector using PSO
In this work, optimal control of n-degrees of freedom (DOF) robotic manipulator, using particle swarm optimization (PSO), is proposed. Based on an arbitrary model of robotic manipulator, final position of end-effector was computed using four Denavit–Hartenberg (DH) parameters, associated with each link by forward kinematics. A feedback control topology was implemented that reduced the squared sum error, between the desired end-effector position and obtained end-effector position, in each iteration of PSO, within 3 dimensional cartesian space. The PSO provided optimized values of link parameters i.e. joint angles for revolute joints and link lengths for prismatic joints, so that the end-effector could be perfectly positioned at desired coordinate. This algorithm was successfully implemented in MATLAB/Simulink and tested on several arbitrary robotic manipulator with n-DOF system and it provided satisfactory result on controlling and positioning the end-effector.
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