Robust fuzzy fault tolerant control for induction motor subject to sensor fault

被引：8

作者：

Ben Zina, Habib ^{[1
]}

Allouche, Moez ^{[1
]}

Bouattour, Maha ^{[1
]}

Souissi, Mansour ^{[1
]}

Chaabane, Mohamed ^{[1
]}

Chrifi-Alaoui, Larbi ^{[2
]}

机构：

[1] Natl Sch Engn Sfax, Lab Sci & Tech Automat Control & Comp Engn Lab ST, Sfax, Tunisia

[2] Univ Picardie Jule Verne, Lab Innovat Technol, Cuffies, France

来源：

INTERNATIONAL JOURNAL OF AUTOMATION AND CONTROL | 2018年 / 12卷 / 02期

关键词：

induction motor; fault tolerant control; FTC; H-infinity theory; Lyapunov theory; L-2; performance; linear matrix inequality; LMI; sensor faults;

D O I：

10.1504/IJAAC.2018.10010884

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This study presents a strategy of fault tolerant control (FTC) to keep the vector controlled induction motor (IM). The aim is to minimise the effect of the sensor fault and the parametric uncertainties. Firstly, a fuzzy proportional multiple integral observer (PMIO) is used to estimate simultaneously the system state and the sensor fault. Secondly, a feedback robust state tracking control is synthesised to guarantee the control performances. The proposed controller is based on a T-S reference model to specify the desired trajectory. The performances of the trajectory tracking are analysed using the Lyapunov theory and the L-2 optimisation. The gains of the observer and controller are obtained by solving a set of LMIs constraint. Finally, simulation results are given to show the effectiveness of the proposed control scheme.

引用

页码：271 / 290

页数：20

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