Robust fuzzy sliding-mode control for T-S model based permanent magnet synchronous motor

作     者：张细政 王耀南 

作者机构：School of Computer and Communication Hunan Institute of Engineering School of Electrical and Information Engineering Hunan University 

出 版 物：《中南大学学报（自然科学版）》 (Journal of Central South University:Science and Technology)

年 卷 期：2009年第40卷第S1期

页      面：68-73页

核心收录：

学科分类：080801[工学-电机与电器] 0808[工学-电气工程] 08[工学] 

基　　金：Project (60835004) supported by the National Natural Science Foundation of China 

主　　题：permanent magnet synchronous motor (PMSM) uncertain T-S nonlinear systems sliding-mode control fuzzy sliding surfaces linear matrix inequalities (LMIs) 

摘      要：A fuzzy sliding-mode control (FSMC) scheme based on T-S fuzzy models was proposed for the permanent magnet synchronous motor (PMSM) drive system to solve the speed tracking problem. A T-S fuzzy model was firstly formed to represent the nonlinear system of PMSM. For converting the tracking control into a stabilization problem, a new control design was proposed to define the internal desired states. Then, the FSMC controller for PMSM system with parameter variation and load disturbance was designed based on the fuzzy model. The performance of the proposed controller was verified by experimental results on PMSM system. The results show that the FSMC scheme can drive the dynamics of PMSM into a designated sliding surface in finite time and guarantee the property of asymptotical stability. The information of upper bound of modeling errors as well as perturbations is not required when using the FSMC controller.