Robust adaptive fault‐tolerant control for linear systems with actuator failures and mismatched parameter uncertainties

Wu, Li‐Bing; Yang, Guang‐Hong; Ye, Dan

doi:10.1049/iet-cta.2013.0334

Cited by 77 publications

(87 citation statements)

References 39 publications

(99 reference statements)

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“…Then the time derivative of V (t) along (15) is (see (17)) Similar to Lemma 1 in [26], it is easy to prove that for the diagonal matrix ρ i (t), there exists a positive constant μ i satisfying the following inequality:…”

Section: Theoremmentioning

confidence: 92%

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Distributed adaptive fault‐tolerant consensus tracking of multi‐agent systems against time‐varying actuator faults

Zhao

Cao

2016

IET Control Theory & Applications

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This study considers the distributed fault-tolerant consensus problem for uncertain multi-agent systems using adaptive protocol. A more general time-varying actuator fault model is given, which includes loss of effectiveness, stuck, bias and outage fault. A new distributed adaptive control scheme is developed to compensate the effect of fault, multiple delayed state perturbations, mismatched parameter uncertainties and external disturbances on leader-follower multiagent systems. Based on the local state information of neighbouring agents, the adaptive updating protocol gains are adjusted online, which remove the assumption that the upper bounds of unknown uncertainty, delayed state perturbation and external disturbances should be known. Moreover, the consensus errors of leader-follower systems can asymptotically converge to zero. Finally, a simulation example is given to show the effectiveness of the theoretical analysis.

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Section: Theoremmentioning

confidence: 92%

“…Assumption 3 is a basic assumption to ensure the controllability of the plant and the existence of a nominal solution for the actuator failure compensation problem [22][23][24][25][26].…”

Section: Assumptionmentioning

confidence: 99%

Distributed adaptive fault‐tolerant consensus tracking of multi‐agent systems against time‐varying actuator faults

Zhao

Cao

2016

IET Control Theory & Applications

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“…For these reasons, research on controlling systems with actuator faults is a challenging issue [9]. Therefore, it is an important issue in control system design to study how the controlled system is kept stable, with acceptable performance levels maintained in the presence of faults affecting the system components [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

An advanced robust fault-tolerant tracking control for a doubly fed induction generator with actuator faults

Abdelmalek¹,

Barazane²,

Larabi³

2017

Turk J Elec Eng & Comp Sci

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Fault-tolerant controller (FTC) designs for doubly fed induction generators (DFIGs) with actuator faults have recently gained considerable attention due to their important role in maintaining the safety and reliability of DFIG-based wind turbines via configured redundancy. The objective of this paper is to propose a novel active fault-tolerant tracking control strategy for a DFIG subject to actuator faults. The proposed strategy consists of first designing a proportional integral observer (PIO) for simultaneous system states and fault estimation and then secondly the FTC, which depends on the estimated states and faults. The objective of such a controller is to drive the state of the system to track a reference state generated by a reference fault-free model (nominal system). In addition, the main results for stability are demonstrated through a quadratic Lyapunov function, formulated in terms of linear matrix inequalities (LMIs) in order to guarantee the stability of the whole closed-loop system and to reduce the actuator fault effects with noise attenuation.Furthermore, the gain matrices of the FTC and the PIO are computed by solving a set of LMIs using the YALMIP toolbox with the SeDuMi solver. Finally, the simulation results under constant and time-varying actuator faults are provided to show the effectiveness of the developed FTC scheme.

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“…Therefore, studies on adaptive fault-tolerant control design for dynamic systems have attracted considerable attention over the past few decades. A large number of significant control schemes (see [1][2][3][4][5] and the references therein) have been developed in this research field. It should be pointed out that these uncertain systems involved in actuator failures are linear.…”

Section: Introductionmentioning

confidence: 99%

Adaptive fault-tolerant control of a class of nonaffine nonlinear systems with mismatched parameter uncertainties and disturbances

Yang

2015

Nonlinear Dyn

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This paper studies the problem of robust adaptive fuzzy fault-tolerant tracking control for a class of nonaffine nonlinear systems with mismatched parameter uncertainties, external disturbances and actuator faults. Without using complicated backstepping technique, a direct adaptive fuzzy tracking control approach is used to achieve the fault-tolerant control objective. First, to overcome the obstacle for the nonaffine nonlinear term with actuator faults, a nonaffine compensation term is constructed to eliminate the effect of the nonaffine fault parameters. Then, based on the implicit function theorem and the mean value theorem, a novel design scheme that converts the nonaffine system into the corresponding affine system is developed, and two effective fuzzy logic systems, which are introduced to approximate the appropriate nonlinear functions, are constructed to compensate the effect on mismatched parameter uncertainty and disturbance, respectively.

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Robust adaptive fault‐tolerant control for linear systems with actuator failures and mismatched parameter uncertainties

Cited by 77 publications

References 39 publications

Distributed adaptive fault‐tolerant consensus tracking of multi‐agent systems against time‐varying actuator faults

Distributed adaptive fault‐tolerant consensus tracking of multi‐agent systems against time‐varying actuator faults

An advanced robust fault-tolerant tracking control for a doubly fed induction generator with actuator faults

Adaptive fault-tolerant control of a class of nonaffine nonlinear systems with mismatched parameter uncertainties and disturbances

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