Integrated fault estimation and non-fragile fault-tolerant control design for uncertain Takagi–Sugeno fuzzy systems with actuator fault and sensor fault

2017 ◽  
Vol 11 (10) ◽  
pp. 1542-1553 ◽  
Author(s):  
Xiaohang Li ◽  
Dunke Lu ◽  
Guohui Zeng ◽  
Jin Liu ◽  
Wei Zhang
Keyword(s):  
Fuzzy Systems ◽  
Fault Tolerant ◽  
Control Design ◽  
Fault Tolerant Control ◽  
Fault Estimation ◽  
Actuator Fault ◽  
Sensor Fault ◽  
Takagi Sugeno

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.

Sliding mode fault-tolerant control for Takagi-Sugeno fuzzy systems with local nonlinear models: Application to inverted pendulum and cart system

2020 ◽  
pp. 014233122094936
Author(s):  
Riadh Hmidi ◽  
Ali Ben Brahim ◽  
Slim Dhahri ◽  
Fayçal Ben Hmida ◽  
Anis Sellami
Keyword(s):  
Fuzzy Systems ◽  
Inverted Pendulum ◽  
Fault Tolerant ◽  
Sliding Mode ◽  
Nonlinear Models ◽  
Fault Tolerant Control ◽  
Simultaneous Occurrence ◽  
Sensor Faults ◽  
Adaptive Sliding Mode ◽  
Takagi Sugeno

This paper proposes fault-tolerant control design for uncertain nonlinear systems described under Takagi-Sugeno fuzzy systems with local nonlinear models that satisfy the Lipschitz condition. First, by transforming sensor faults as ‘pseudo-actuator’ faults, an adaptive sliding mode observer is designed in order to simultaneously estimate system states, actuator and sensor faults despite the presence of norm-bounded uncertainties. Second, an adaptive sliding mode controller is suggested to provide a solution to stabilize the closed-loop system, even in the event of simultaneous occurrence of faults in actuators and sensors. Next, the main objective of the fault-tolerant control strategy is to compensate for the effects of fault based on the feedback information. Therefore, using the LMI optimization method, sufficient conditions are developed with [Formula: see text] to calculate the gains of the observer and the controller. Then, particular attention is paid to the simultaneous maximization, by convex multi-objective optimization, of the Lipschitz nonlinear constant in Takagi-Sugeno fuzzy modelling and uncertainties attenuation level. The results of the simulation illustrate the effectiveness of our fault-tolerant control approach using a nonlinear inverted pendulum with a cart system.

A predictive fault-tolerant control scheme for Takagi-Sugeno fuzzy systems*

2011 ◽  
Vol 44 (1) ◽  
pp. 4684-4689 ◽  
Author(s):  
Łukasz Dziekan ◽  
Marcin Witczak ◽  
Józef Korbicz
Keyword(s):  
Fuzzy Systems ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Control Scheme ◽  
Takagi Sugeno
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