Adaptive compensation for actuator failure in a class of non‐linear time‐delay systems

Hashemi, Mahnaz; Askari, Javad; Ghaisari, Jafar; Kamali, Marzieh

doi:10.1049/iet-cta.2014.0504

Cited by 20 publications

(12 citation statements)

References 38 publications

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“…Simulation tests on a thermal process demonstrate the effectiveness of the proposed method. Based on this study, the actuator fault issue and the simultaneous design of controller and observer for the FTC system will be further investigated in the future.…”

Section: Discussionmentioning

confidence: 99%

Fault diagnosis and compensation for two‐dimensional discrete time systems with sensor faults and time‐varying delays

Zhao

Shen

Wang

2017

Intl J Robust & Nonlinear

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Summary A fault diagnosis and compensation problem for two‐dimensional discrete time systems with time‐varying state delays is studied in this paper. The concerned two‐dimensional systems are described by the Fornasisi–Marchesini second model and are subject to unknown disturbances. First, a fault detection and diagnosis module is designed to obtain the information on sensor faults; a new fault detection and diagnosis integrated design, using the observer based on descriptor system approach, is proposed to detect and estimate the sensor faults. The integrated design can maximize the fault detection rate for a given false alarm rate. Sufficient conditions for the existence of the integrated fault detection and diagnosis design are derived in the context of norm evaluation and provided in terms of matrix inequalities. Second, a fault‐tolerant control module is proposed upon an existing output feedback controller. When the sensor fault occurs, the faulty measurement can be identified and corrected by the proposed fault detection and diagnosis module. In this case, the feedback controller can guarantee the performance of the closed‐loop system even when encountering sensor faults. Finally, the proposed method is applied to a thermal process to illustrate its effectiveness. Copyright © 2017 John Wiley & Sons, Ltd.

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Section: Discussionmentioning

confidence: 99%

Fault diagnosis and compensation for two‐dimensional discrete time systems with sensor faults and time‐varying delays

Zhao

Shen

Wang

2017

Intl J Robust & Nonlinear

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“…For this purpose, the following assumptions are considered. Assumption 1: [27][28][29][30][31][32][33]: For plant (5) with known plant and fault parameters, if any, up to m − 1 actuators fail as (6), the others may lose effectiveness as (7), the closed-loop system can still be driven to achieve the desired control objective. Assumption 2: There exist some constants α, β, γ > 0 such that Δg Y, t ≤ αg u Y , d t ≤ β and Δ f X, t ≤ γ f u X where g u and f u are positive functions.…”

Section: Preliminariesmentioning

confidence: 99%

“…Many valuable types of research and practical results have been achieved in fault compensation for linear [25,26] and non-linear [27][28][29][30][31][32][33][34][35][36][37][38] systems. Adaptive control approaches represent good performance against uncertainties such as uncertain faults [38,39].…”

Section: Introductionmentioning

confidence: 99%

“…In [28], an adaptive fuzzy compensation controller was presented for a class of stochastic uncertain non-linear systems. In [29][30][31][32][33], the adaptive actuator fault compensation approaches were presented for some classes of non-linear systems based on the backstepping approach. In [34], a robust adaptive fault tolerant controller was proposed for attitude tracking of spacecraft.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive sliding mode synchronisation for fractional‐order non‐linear systems in the presence of time‐varying actuator faults

Bataghva

Hashemi

2018

IET Control Theory & Applications

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“…In References , the adaptive controllers were applied in a category of nonlinear MIMO systems containing unknown parameters and bounded delay time due to the actuator faults with respect to the time. In Reference , an adaptive decentralized DSC approach was applied to a category of the above mentioned systems at large scale with respect to the parameters therein. The issue fault‐tolerant DSC is assessed for an above systems in Reference .…”

Section: Introductionmentioning

confidence: 99%

Approximation‐based adaptive fault compensation backstepping control of fractional‐order nonlinear systems: An output‐feedback scheme

Naderolasli

Hashemi

Shojaei

2020

Adaptive Control & Signal

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Summary An observer‐based adaptive fuzzy backstepping approach is proposed for nonlinear systems with respect to fractional‐order differential equations, unmatched uncertainties, unmeasured states, and actuator faults. The approximation capability of fuzzy logic system and minimal learning parameter approaches are applied to identify uncertain functions in a simultaneous manner. For estimating the unavailable conditions, a fuzzy fractional‐order state‐observer is extended. Applying fault‐tolerant approach in a backstepping design methodology would provide a new fault‐tolerant adaptive fuzzy output‐feedback approach for fractional‐order strict‐feedback systems. This control structure would assure the considered system stability through selection of the appropriate Lyapunov candidate function. Two numerical simulations are run to exhibit the validity herein.

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Adaptive compensation for actuator failure in a class of non‐linear time‐delay systems

Cited by 20 publications

References 38 publications

Fault diagnosis and compensation for two‐dimensional discrete time systems with sensor faults and time‐varying delays

Fault diagnosis and compensation for two‐dimensional discrete time systems with sensor faults and time‐varying delays

Adaptive sliding mode synchronisation for fractional‐order non‐linear systems in the presence of time‐varying actuator faults

Approximation‐based adaptive fault compensation backstepping control of fractional‐order nonlinear systems: An output‐feedback scheme

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