基于模糊自学习的交流直线伺服系统滑模变结构控制  

Sliding Mode Variable Structure Control Based on Fuzzy Self-Learning for AC Linear Servo System

作　　者：孙宜标[1] 郭庆鼎[1] 孙艳娜[1] 

机构地区：[1]沈阳工业大学电气工程学院,110023

出　　处：《电工技术学报》2001年第1期52-56,共5页Transactions of China Electrotechnical Society

基　　金：国家自然科学基金资助课题!~(59875061)。

摘　　要：针对直接驱动直线式交流伺服系统，提出了一种基于模糊自学习的滑模变结构控制方案。在常规的滑模控制中引入模糊自学习方法，在不影响滑模控制系统完全鲁棒性的情况下，有效地削弱滑模切换控制所产生的抖振。仿真结果表明该方案对系统参数变化和负载扰动具有很强的鲁棒性，抖振得到了明显的抑制。系统具有良好的动、静态性能。This paper presents a sliding mode variable structure control (SMVSC) method based on fuzzy self-learning for a direct-drive AC lin ear servo system. The chattering bringing by sliding mode switch control can be effectively minimised by introducing fuzzy self-learning in convational sliding mode control, without sacrificing the absolute robustness of sliding mode contr ol. Simulation results verify that the proposed control scheme has strong robust ness against the system parameter variations and load disturbances, and the chat tering is obviously restrained. Simultaneously, the servo system promises good s tatic and dynamic performance.

关 键 词：交流直线伺服系统 滑模变结构控制 模糊控制 自学习 

分 类 号：TM921.541[电气工程—电力电子与电力传动]