基于等效误差法的XY平台模糊RBF网络控制  

Fuzzy RBF Neural Network Control for XY Tables Based on Equivalent Errors Method

作　　者：王丽梅[1] 左莹莹[1] 

机构地区：[1]沈阳工业大学电气工程学院,沈阳110870

出　　处：《组合机床与自动化加工技术》2014年第1期68-70,74,共4页Modular Machine Tool & Automatic Manufacturing Technique

基　　金：国家自然科学基金资助项目(51175349);辽宁省高等学校优秀人才支持计划资助(LR2013006);沈阳市科技计划项目(F13-316-1-48)

摘　　要：永磁同步直线电机(PMLSM)直接驱动XY平台数控系统在加工零件时负载扰动以及系统参数的变化会使其产生轮廓误差,而且任意轨迹轮廓误差为非线性函数不易进行建模。论文采用适用于任意轨迹建模的等效误差法建立XY平台非线性误差模型并采用模糊RBF神经网络控制设计轮廓控制器,通过其局部逼近能力使误差量在有限时间内趋近于零,以满足XY平台数控系统的高精度加工要求。仿真结果表明,所设计控制系统能有效提高XY平台的轮廓加工精度。Load disturbance as well as changes in the system parameters to produce contour error for permanent magnet linear synchronous motors （PMLSM） in the processing parts, and any trajectory contour error model was nonlinear function which was not easy to estimate. This paper apply equivalent error method which was appropriate for any trajectory to establish nonlinear error model of XY tables, and using fuzzy Radial Basis Function neural network to design contour controller which had local approximation ability. The aim of the controller was used to make contour error tend to be zero in limited time for meeting high precision machining of the XY tables. Simulation results show that the designed control system made XY tables possess high

关 键 词：永磁同步直线电机 XY平台 负载扰动 等效误差法 模糊RBF神经网络 轮廓精度 

分 类 号：TH165[机械工程—机械制造及自动化] TG65[金属学及工艺—金属切削加工及机床]