Fault Tolerant Controller Design for T–S Fuzzy Systems With Time-Varying Delay and Actuator Faults: A K-Step Fault-Estimation Approach

2014 ◽  
Vol 22 (6) ◽  
pp. 1526-1540 ◽  
Author(s):  
Sheng-Juan Huang ◽  
Guang-Hong Yang
2016 ◽  
Vol 14 (1) ◽  
pp. 986-1006 ◽  
Author(s):  
Chao Sun ◽  
Fuli Wang ◽  
Xiqin He

AbstractThis paper addresses the problem of robust fault-tolerant control design scheme for a class of Takagi-Sugeno fuzzy systems subject to interval time-varying delay and external disturbances. First, by using improved delay partitioning approach, a novel n-steps iterative learning fault estimation observer under H∞ constraint is constructed to achieve estimation of actuator fault. Then, based on the online estimation information, a fuzzy dynamic output feedback fault-tolerant controller considered interval time delay is designed to compensate for the impact of actuator faults, while guaranteing that the closed-loop system is asymptotically stable with the prescribed H∞ performance. Moreover, all the obtained less conservative sufficient conditions for the existence of fault estimation observer and fault-tolerant controller are formulated in terms of linear matrix inequalities. Finally, the numerical examples and simulation results are presented to show the effectiveness and merits of the proposed methods.


2017 ◽  
Vol 11 (8) ◽  
pp. 1112-1123 ◽  
Author(s):  
Palanisamy Selvaraj ◽  
Boomipalagan Kaviarasan ◽  
Rathinasamy Sakthivel ◽  
Hamid Reza Karimi

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Le Zhang ◽  
Jinnan Wu

This paper deals with the reliable control problem of nonlinear systems represented by switched fuzzy systems (SFS) with time-varying delay, where each subsystem of switched system is a time-varying delay fuzzy system. A switched fuzzy system with a Takagi and Sugeno (T-S) fuzzy model, which differs from existing ones, is firstly employed to describe a nonlinear system. When the actuators are serious failure, the residual part of actuators cannot make original system stability, using switching technique depends on the states of observers, and the fuzzy reliable controller based on measured observers states instead of the original system states information is built. The stabilization criterion of the reliable control problem is given for the case that the state of original system is unmeasurable. The multi-Lyapunov functions method is utilized to the stability analysis and controller design for time-varying delay switched fuzzy systems with faulty actuators. Moreover, observers switching strategy achieving estimation errors decreasing uniformly asymptotically to zero of the switched fuzzy systems is considered. Finally, the stabilization criterion is transformed into the solvability of sufficient linear matrix inequality (LMI) conditions. To illustrate the effectiveness of the proposed stabilization criterion and controller design approaches, a designed numerical example is studied, and some simulations are provided.


2020 ◽  
Vol 38 ◽  
pp. 100942
Author(s):  
Shaoxin Sun ◽  
Yingchun Wang ◽  
Huaguang Zhang ◽  
Xiangpeng Xie

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