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基于GA-RBF网络的ABB机器人逆运动学求解
引用本文:夏天,孙翰英,范嘉桢,杨建国.基于GA-RBF网络的ABB机器人逆运动学求解[J].机械设计与制造,2010(1).
作者姓名:夏天  孙翰英  范嘉桢  杨建国
作者单位:1. 上海交通大学,机械与动力工程学院,上海,200240
2. 山东淄博职业学院,机电工程系,淄博,255314
摘    要:阐述了利用遗传算法对RBF网络进行优化的过程。并结合ABB机器人的正运动学分析,将正运动学求解的结果作为GA-RBF优化网络的训练样本,求解了机器人逆运动学问题。仿真和试验结果均表明该方法能得到很高精度的运动学逆解。

关 键 词:ABB机器人  GA-RBF网络  运动学  逆解  

Solution to the inverse kinematics problem of ABB robot based on the GA-RBF network
XIA Tian,SUN Han-ying,FAN Jia-zhen,YANG Jian-guo.Solution to the inverse kinematics problem of ABB robot based on the GA-RBF network[J].Machinery Design & Manufacture,2010(1).
Authors:XIA Tian  SUN Han-ying  FAN Jia-zhen  YANG Jian-guo
Affiliation:1 School of Mechanical Engineering/a>;Shanghai Jiaotong University/a>;Shanghai 200240/a>;China;2 Mechanical and Electrical Engineering Department/a>;Zibo Vocational Institute/a>;Zibo 255314/a>;China
Abstract:It describes how to optimize the RBF network using GA.By using the forward kinematics results as training data set in the GA-RBF network,the inverse kinematics problem is solved with a high accuracy.The results of simulation and experiment both show that this method can get a accurate solution to the IKP of ABB robot.
Keywords:ABB robot manipulator  GA-RBF network  Inverse Kinematics  
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