Actuator and sensor faults estimation based on proportional integral observer for TS fuzzy model

被引：222

作者：

Youssef, T. ^{[1
]}

Chadli, M. ^{[2
]}

Karimi, H. R. ^{[3
]}

Wang, R. ^{[4
]}

机构：

[1] Univ Boumerdes, Boumerdes 35000, Algeria

[2] Univ Picardie Jules Verne, MIS, EA 4029, 33 Rue St Leu, F-80039 Amiens, France

[3] Politecn Milan, Dept Mech Engn, I-20156 Milan, Italy

[4] Southeast Univ, Sch Mech Engn, Nanjing 211189, Jiangsu, Peoples R China

来源：

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2017年 / 354卷 / 06期

关键词：

TOLERANT CONTROL; STOCHASTIC-SYSTEMS; DESIGN;

D O I：

10.1016/j.jfranklin.2016.09.020

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 paper presents a novel method to address a Proportional Integral observer design for the actuator and sensor faults estimation based on Takagi Sugeno fuzzy model with unmeasurable premise variables. The faults are assumed as time-varying signals whose kth time derivatives are bounded. Using Lyapunov stability theory and L-2 performance analysis, sufficient design conditions are developed for simultaneous estimation of states and time-varying actuator and sensor faults. The Proportional Integral observer gains are computed by solving the proposed conditions under Linear Matrix Inequalities constraints. A simulation example is provided to illustrate the effectiveness of the proposed approach. (C) 2016 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

引用

页码：2524 / 2542

页数：19

共 37 条

[1] Speed Sensorless and Sensor-Fault Tolerant Optimal PI Regulator for Networked DC Motor System With Unknown Time-Delay and Packet Dropout [J].