TRACKING ERROR REDUCTION IN CNC MACHINING BY RESHAPING THE KINEMATIC TRAJECTORY

作     者：GUO Jianxin ZHANG Qiang GAO Xiao-Shan 

作者机构：Academy of Mathematics and Systems ScienceChinese Academy of Sciences College of Information and Control EngineeringChina University of Petroleum(East China) 

出 版 物：《Journal of Systems Science & Complexity》 (系统科学与复杂性学报（英文版）)

年 卷 期：2013年第26卷第5期

页      面：817-835页

核心收录：

学科分类：080202[工学-机械电子工程] 08[工学] 0802[工学-机械工程] 

基　　金：partially supported by a National Key Basic Research Project of China a USA NSF grant CCR-0201253 the Foundation of UPC for the Author of National Excellent Doctoral Dissertation under Grant No.120501A 

主　　题：CNC controller robustness structured neural network tracking error. 

摘      要：In this paper,a method of reducing the tracking error in CNC machining is *** structured neural network is used to approximate the discontinuous friction in CNC machining,which has jump points and *** the estimated nonlinear friction function,the reshaped trajectory can be computed from the desired one by solving a second order ODE such that when the reshaped trajectory is fed into the CNC controller,the output is the desired trajectory and the tracking error is eliminated in certain *** proposed reshape method is also shown to be robust with respect to certain parameters of the dynamic system.