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

被引：1

作者：

张细政 ^{[1
,2
]}

王耀南 ^{[2
]}

机构：

[1] School of Computer and Communication, Hunan Institute of Engineering

[2] School of Electrical and Information Engineering, Hunan University

来源：

中南大学学报(自然科学版) | 2009年 / 40卷 / S1期

基金：

中国国家自然科学基金;

关键词：

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

D O I：

暂无

中图分类号：

TM351 [永磁电机];

学科分类号：

080801 ;

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.

引用

页码：68 / 73

页数：6

共 3 条

[1] Adaptive sliding mode controller design based on T–S fuzzy system models[J] . Chih-Chiang Cheng,Shih-Hsiang Chien.Automatica . 2006 (6)
[2] LMI-based design of stabilizing fuzzy controllers for nonlinear systems described by Takagi–Sugeno fuzzy model[J] . Jooyoung Park,Jinsung Kim,Daihee Park.Fuzzy Sets and Systems . 2001 (1)
[3] Output tracking control of MIMO fuzzy nonlinear systems using variable structure control approach. Zheng F, Wang Q G, Lee T H. IEEE Transactions on Fuzzy Systems . 2002

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