基于模糊CMAC神经网络的XY平台交叉耦合控制  

Cross-coupled control for XY table based on fuzzy-CMAC neural network

作　　者：王丽梅[1] 孙伟[1] 

机构地区：[1]沈阳工业大学电气工程学院,沈阳110870

出　　处：《沈阳工业大学学报》2015年第2期121-125,共5页Journal of Shenyang University of Technology

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项目(LR2013006);沈阳市科技计划资助项目(F13-316-1-48)

摘　　要：针对永磁直线同步电机(PMLSM)驱动的XY平台系统的负载扰动、任意加工曲线轮廓误差模型复杂及双轴参数不匹配等会影响加工精度的问题,XY平台单轴采用了能反映人脑认知模糊性和连续性的模糊小脑模型关节控制器(FCMAC)设计速度控制器,在两轴之间采用实时轮廓误差估计模型和交叉耦合控制(CCC)进行轮廓控制器的设计,可同时减小跟踪误差和轮廓误差.FCMAC可准确及时地抑制负载扰动,交叉耦合控制削弱了双轴参数不匹配的影响.仿真结果表明,所设计的XY平台控制系统具有较高的轮廓精度和较强的鲁棒性.In order to solve the problem that the processing accuracy of XY table driven by permanent magnet linear synchronous motor( PM LSM) is influenced by the load disturbance,complicated contour error model of any processing trajectory and biaxial parameter mismatch,a fuzzy cerebella model articulation controller( FCMAC) reflecting the fuzziness and continuity of human cerebella cognition was used to design the speed controller for single axis of XY table. The real-time contour error estimation model and cross-coupled control( CCC) were adopted to design the contour controller between the two axes. And thus,the tracking error and contour error are simultaneously reduced. The FCMAC can suppress the load disturbance accurately and timely,and the cross-coupled control weakens the influence of biaxial parameter mismatch. The simulated results showthat the designed control system of XY table possesses stronger robustness and higher contour precision.

关 键 词：永磁同步直线电机 XY平台 负载扰动 实时轮廓误差估计模型 模糊小脑模型关节控制器 交叉耦合控制 跟踪误差 轮廓精度 

分 类 号：TM341[电气工程—电机] TP273[自动化与计算机技术—检测技术与自动化装置]