Takagi-Sugeno fuzzy fault-tolerant control of an induction motor

被引：32
|
作者：
Lopez-Toribio, CJ
Patton, RJ
Daley, S
机构：
[1] Univ Hull, Sch Engn, Control & Intelligent Syst Engn Res Grp, Hull HU6 7RX, N Humberside, England
[2] ABB ALSTOM Energy Technol Ctr, Leicester, Leics, England
来源：
NEURAL COMPUTING & APPLICATIONS | 2000年 / 9卷 / 01期
关键词：
fault-tolerant control; fuzzy logic; induction motor control; linear matrix inequalities; parameter estimation;
D O I：
10.1007/s005210070031
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper demonstrates the application of a new fault-tolerant control scheme for a rail vehicle traction system using digital signal processing hardware and a representative induction motor testrig. This approach presented takes into account the stability and design of non-linear fuzzy inference systems based on Takagi-Sugeno (T-S) fuzzy models. The paper derives the necessary conditions for the assignability of eigenvalues to a region in the s-plane and the necessary conditions to guarantee the stability of adaptive fuzzy models. The problem is solved via the Linear Matrix Inequalities (LMI) method.
引用
收藏
页码：19 / 28
页数：10
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