Active fault-tolerant control design for Takagi-Sugeno fuzzy systems

2011 ◽  
Vol 59 (1) ◽  
pp. 93-102 ◽  
Author(s):  
Ł. Dziekan ◽  
M. Witczak ◽  
J. Korbicz
Keyword(s):  
Control Strategy ◽  
Fuzzy Systems ◽  
Active Fault ◽  
Fault Tolerant ◽  
Control Design ◽  
Fault Tolerant Control ◽  
The State ◽  
Fault Identification ◽  
Active Fault Tolerant Control ◽  
Takagi Sugeno

Active fault-tolerant control design for Takagi-Sugeno fuzzy systemsIn this paper, a virtual actuator-based active fault-tolerant control strategy is presented. After a short introduction to Takagi-Sugeno fuzzy systems, it is shown how to design a fault-tolerant control strategy for this particular class of non-linear systems. The key contribution of the proposed approach is an integrated fault-tolerant control design procedure of fault identification and control within an integrated fault-tolerant control scheme. In particular, fault identification is implemented with the suitable state observer. While, the controller is implemented in such a way that the state of the (possibly faulty) system tracks the state of a fault-free reference model. Consequently, the fault-tolerant control stabilizes the possibly faulty system taking into account the input constraints and some control objective function. Finally, the last part of the paper shows a comprehensive case study regarding the application of the proposed strategy to fault-tolerant control of a twin-rotor system.

A Neural Adaptive Approach for Active Fault-Tolerant Control Design in UAV

2020 ◽  
Vol 50 (9) ◽  
pp. 3401-3411 ◽  
Author(s):  
Alireza Abbaspour ◽  
Kang K. Yen ◽  
Parisa Forouzannezhad ◽  
Arman Sargolzaei
Keyword(s):  
Active Fault ◽  
Fault Tolerant ◽  
Control Design ◽  
Fault Tolerant Control ◽  
Adaptive Approach ◽  
Active Fault Tolerant Control

H ∞ Fuzzy Tracking Control Design for Nonlinear Active Fault Tolerant Control Systems

2008 ◽  
Vol 130 (4) ◽  
Author(s):  
Huai-Ning Wu ◽  
Ming-Zhen Bai
Keyword(s):  
Control Systems ◽  
Fuzzy System ◽  
Tracking Control ◽  
Closed Loop ◽  
Active Fault ◽  
Fault Tolerant ◽  
Control Design ◽  
Fault Tolerant Control ◽  
System Component ◽  
Active Fault Tolerant Control

This paper studies the problem of H∞ fuzzy tracking control design for nonlinear active fault tolerant control systems based on the Takagi and Sugeno fuzzy model. Two random processes with Markovian transition characteristics are introduced to model the system component fault process and the fault detection and isolation decision process used to reconfigure the control law, respectively. The random behavior of the FDI process is conditioned on the fault process state. The parallel distributed compensation scheme is employed for the control design. As a result, a closed-loop fuzzy system with two Markovian jump parameters is obtained. Based on a stochastic Lyapunov function, a sufficient condition for stochastic stability of the closed-loop fuzzy system with a guaranteed H∞ model reference tracking performance is first derived. A linear matrix inequality approach to the control design is then developed to reduce the effect of the external disturbance and reference input on tracking error as small as possible. Finally, a simulation example is presented to illustrate the effectiveness of the proposed design method.

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