Study of Takagi‐Sugeno fuzzy‐based terminal‐sliding mode fault‐tolerant control

Xu, Sendren Sheng-Dong; Liu, Yi-Kuo

doi:10.1049/iet-cta.2013.0535

Cited by 24 publications

(4 citation statements)

References 45 publications

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“…Most of these use the Lyapunov theory of stability and linear matrix inequalities (LMIs) with state feedback for both continuous [4][5][6][7][8][9][10][11][12][13][14] and discrete systems [15][16][17][18][19][20][21] or output feedback. 22,23 Some authors apply adaptive control based on backstepping [24][25][26][27] while others use sliding mode observers 28,29 or some form of optimal control. 30,31 The main path of research is along LMI based on the Lyapunov stability.…”

Section: Introductionmentioning

confidence: 99%

Actuator fault-tolerant control for discrete Takagi-Sugeno fuzzy systems using the matrices norms approach

Hamadou,

Belarbi

2023

Proceedings of the Institution of Mechanical Engineers, Part I:

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The apparition of faults is a well-known phenomenon in automatic control systems. Faults cause undesired behaviour and disruption of a controlled plant, which can lead to damage. This article addresses the actuator fault problem for nonlinear systems described by a discrete time Takagi–Sugeno fuzzy systems. An active fault-tolerant control based on a fault estimator is designed using the matrices norms approach instead of the usual Lyapunov stability theory. In this work, we consider the case where the premise variables do not depend on the unmeasurable variables. This allows the separate design of the gains of the controller, the observer and the estimator. Two nonlinear systems represented by discrete Takagi–Sugeno fuzzy models are studied to investigate the validity of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Actuator fault-tolerant control for discrete Takagi-Sugeno fuzzy systems using the matrices norms approach

Hamadou,

Belarbi

2023

Proceedings of the Institution of Mechanical Engineers, Part I:

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“…In such situations, research communities have commonly used a control scheme named reliable or fault‐tolerant control [25–28] which is robust and insensitive to the faults/failures of control components and actuators. Besides, by combining fault‐tolerant and SMC approaches together, few interesting results have been proposed in the literature, see [29, 30] and the references therein. However, it should be pointed out that there have been reported only a little number of results on the fault‐tolerant SMC for T–S fuzzy systems.…”

Section: Introductionmentioning

confidence: 99%

Fault‐tolerant SMC for Takagi–Sugeno fuzzy systems with time‐varying delay and actuator saturation

Selvaraj¹,

Kaviarasan²,

Sakthivel

et al. 2017

IET Control Theory & Applications

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“…A fuzzy system has been used in [13] to combine SMC and a state feedback controller for reducing the chattering effect. Some studies have also utilized fuzzy logic systems in TSMC [14][15][16][17][18]. In [14], an adaptive fuzzy system has been used in TSMC to reduce the chattering.…”

Section: Introductionmentioning

confidence: 99%

“…Adaptive TSMC using a fuzzy system has been developed in [15]. Also, in [16], fuzzy TSMC has been proposed for fault-tolerant control. A combination of the state feedback controller and TSMC using a fuzzy system has also been investigated in [17].…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Neuro-Fuzzy Terminal Sliding Mode Control Method With Application to Atomic Force Microscope

Nikoo

Rezaie

Rafiee

et al. 2016

IIUMEJ

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In this paper, a neuro-fuzzy fast terminal sliding mode control method is proposed for controlling a class of nonlinear systems with bounded uncertainties and disturbances. In this method, a nonlinear terminal sliding surface is firstly designed. Then, this sliding surface is considered as input for an adaptive neuro-fuzzy inference system which is the main controller. A proportinal-integral-derivative controller is also used to asist the neuro-fuzzy controller in order to improve the performance of the system at the begining stage of control operation. In addition, bee algorithm is used in this paper to update the weights of neuro-fuzzy system as well as the parameters of the proportinal-integral-derivative controller. The proposed control scheme is simulated for vibration control in a model of atomic force microscope system and the results are compared with conventional sliding mode controllers. The simulation results show that the chattering effect in the proposed controller is decreased in comparison with the sliding mode and the terminal sliding mode controllers. Also, the method provides the advantages of fast convergence and low model dependency compared to the conventional methods.

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Study of Takagi‐Sugeno fuzzy‐based terminal‐sliding mode fault‐tolerant control

Cited by 24 publications

References 45 publications

Actuator fault-tolerant control for discrete Takagi-Sugeno fuzzy systems using the matrices norms approach

Actuator fault-tolerant control for discrete Takagi-Sugeno fuzzy systems using the matrices norms approach

Fault‐tolerant SMC for Takagi–Sugeno fuzzy systems with time‐varying delay and actuator saturation

An Intelligent Neuro-Fuzzy Terminal Sliding Mode Control Method With Application to Atomic Force Microscope

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