Robust adaptive actuator failure compensation for a class of uncertain nonlinear systems

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

doi:10.1007/s11633-016-1016-0

Cited by 18 publications

(24 citation statements)

References 25 publications

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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%

See 2 more Smart Citations

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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Section: Preliminariesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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“…This fault can lead to the deviation of system parameters and instability. So far, various methods including adaptive approaches have been progressed in this field 8‐14 . Bataghva and Hashemi 8 proposed an adaptive‐neural synchronization scheme for a class of nonlinear fractional order systems in the presence of unknown parameters and time varying actuator faults.…”

Section: Introductionmentioning

confidence: 99%

Design of disturbance observer based on adaptive‐neural control for large‐scale time‐delay systems in the presence of actuator fault and unknown dead zone

Janbazi

Hashemi

2020

Adaptive Control & Signal

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This article presents an adaptive neural compensation scheme for a class of large-scale time delay nonlinear systems in the presence of unknown dead zone, external disturbances, and actuator faults. In this article, the quadratic Lyapunov-Krasovskii functionals are introduced to tackle the system delays. The unknown functions of the system are estimated by using radial basis function neural networks. Furthermore, a disturbance observer is developed to approximate the external disturbances. The proposed adaptive neural compensation control method is constructed by utilizing a backstepping technique. The boundedness of all the closed-loop signals is guaranteed via Lyapunov analysis and the tracking errors are proved to converge to a small neighborhood of the origin. Simulation results are provided to illustrate the effectiveness of the proposed control approach.

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“…A variety of control methods are tested with several profound achievements. Many effective fault-tolerant control methods were reviewed in literatures [1][2][3][4][5]. Multimodel adaptive control methods were employed as a fault compensation in literatures [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Fault Compensation and Disturbance Suppression Design for Nonlinear Systems with an Aircraft Control Application

Yao

Yang

2020

International Journal of Aerospace Engineering

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A comprehensive adaptive compensation control strategy based on feedback linearization design is proposed for multivariable nonlinear systems with uncertain actuator fault and unknown mismatched disturbances. Firstly, the linear dynamic system is obtained through nonlinear feedback linearization, and the dynamic model of the mismatched disturbances as well as its relevance to the nonlinear system is given. The effect of disturbances on the system output is suppressed with the basic controller of the linearized system. Then, a direct adaptive controller is developed for the multiple uncertain actuator faults. Finally, an integrated algorithm based on adaptive weighted fusion could provide an effective compensation for the effect of multiple uncertain faults and mismatched disturbances. Thus, the stability and asymptotic tracking performance of the closed-loop system are ensured. The feasibility and performance of the proposed control strategy are validated by the numerical simulation results.

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Robust adaptive actuator failure compensation for a class of uncertain nonlinear systems

Cited by 18 publications

References 25 publications

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

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

Design of disturbance observer based on adaptive‐neural control for large‐scale time‐delay systems in the presence of actuator fault and unknown dead zone

Adaptive Fault Compensation and Disturbance Suppression Design for Nonlinear Systems with an Aircraft Control Application

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