直线游标永磁电机反步滑模控制研究  

Backstepping Sliding Mode Control for Linear Vernier Permanent Magnet Motor

作　　者：唐红雨[1] 徐峰[1] 黄海峰[1] TANG Hong-yu;XU Feng;HUANG Hai-feng(Zhenjiang College,Zhenjiang 212003,China)

机构地区：[1]镇江市高等专科学校,镇江212003

出　　处：《微特电机》2018年第9期71-74,共4页Small & Special Electrical Machines

基　　金：国家自然科学基金项目(51777090);江苏省自然科学基金项目(BK20171298);镇江市工业控制网络重点实验室资助项目(GX2017005)

摘　　要：将反步控制方法和滑模方法相结合,提出一种反步滑模控制算法,应用于直线游标永磁电机位置跟踪控制。针对系统内部的参数变化及外部负载扰动等未知因素,采用神经网络最小参数学习算法逼近系统未知项。仿真结果表明,相对于普通控制算法,反步滑模控制算法使系统位置跟踪精确,提高了系统的鲁棒性和动态性能。Based on the backstepping method and SMC(sliding model control)method,a new backstepping sliding mode control algorithm was proposed and was applied to the location tracking for linear vernier permanent magnet motors.Aiming at parameters changes,external load disturbance and other unknown factors,neural network minimum parameters learning algorithm was adopted to approach the system unknowns.Simulation results show that the backstepping sliding model algorithm can ensure the system to track the exact location,the robustness and stability are improved.

关 键 词：直线游标永磁电机 反步控制 滑模控制 神经网络 

分 类 号：TM351[电气工程—电机]