模糊自学习滑模变结构控制的研究及在直线AC伺服系统中的应用

滑模变结构控制（SMSVC）是一种特殊的非线性控制策略，它对参数变化，负载扰动以及系统的不确定性有强的鲁棒性。然而，系统的控制精度和稳定性受到由滑模开关控制所引起的抖振的影响，在本文给出的方法中，抖振可以通过在传统的滑模控制中引入模糊自学习加以有效的抑制，而对SMVSC的强鲁棒性不产生影响，对于直接驱动的AC直线伺服系统的仿真结果显示了这种方法是有效的。

Research on Fuzzy Self-learning Sliding Mode Variable Structure Control and Its Application to Linear AC Servo System

Sliding mode variable structure control(SMVSC) is a special nonlinear control strategy, which has strong robustness against parameter variations, load disturbances and uncertainty of system. Nevertheless, the control precision and stability of system will be affected by the chattering, caused by sliding mode switch control. To address the problem, this paper proposes that the chattering can be effectively minimized by introducing fuzzy self learning in conventional sliding mode control, without sacrificing the strong robustness of SMVSC. Simulation research on a direct drive AC linear servo system is also presented in the paper.