Robust adaptive fault-tolerant control for uncertain linear systems with actuator failures

Li, X.-J.; Yang, Guang‐Hong

doi:10.1049/iet-cta.2011.0599

Cited by 292 publications

(269 citation statements)

References 28 publications

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“…Faced with uncertainty of system parameters of linear continuous system, the paper [11] design a kind of robust adaptive algorithm, which can be used to compensate the actuator faults and external disturbances. on the base of that paper, we do some research on the problem of fault tolerant control of four rotor helicopter attitude control system with uncertainty of system parameters, and then design a kind of adaptive fault tolerant controller, which can use to track the state of the reference system, we also use the Lyapunov stability theory to analyze the performance of the system.…”

Section: Discussionmentioning

confidence: 99%

“…There a law: for closed loop system (9) , if it's control structure is expressed as (11), the control rate is expressed as (22), the parameter adaptive rate is expressed as （21） and （23） . Then we can make conclude that the state of the controlled system is limited that can track the output state of the reference system.…”

Section: Adaptive Fault Tolerant Controller Designmentioning

confidence: 99%

“…simulation results show that the algorithm is effective and has good performance. compare with the controller in the paper [11], we introduce the feedback of reference system state, and then get a fault tolerant control system with excellent control performance.…”

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confidence: 99%

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Adaptive Fault Tolerant Control of UAV Attitude Control System

Zhao¹,

Xu²,

Ding³

2017

Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)

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Abstract-In this paper, we design a direct feedback adaptive fault-tolerant controller to cope with the uncertainty and non-modeling of the interference of the four-rotor UAV attitude control system. The controller is stuck in the UAV and the external. Under the condition of uncertainty, the attitude of the UAV can effectively track the state output of the reference system by introducing the feedback of the state and its error.

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Section: Discussionmentioning

confidence: 99%

Section: Adaptive Fault Tolerant Controller Designmentioning

confidence: 99%

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Adaptive Fault Tolerant Control of UAV Attitude Control System

Zhao¹,

Xu²,

Ding³

2017

Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)

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“…Remark 3: Assumptions 1 and 2 are necessary in the robust fault-tolerant control literature to completely compensating the stuck-actuator faults and disturbances, which has been studied in [24][25][26]32]. 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%

“…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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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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Model‐free fault‐tolerant control approach for uncertain state‐constrained linear systems with actuator faults

Xie

Yang

2016

Adaptive Control & Signal

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This paper investigates the robust adaptive fault-tolerant control problem for state-constrained continuoustime linear systems with parameter uncertainties, external disturbances, and actuator faults including stuck, outage, and loss of effectiveness. It is assumed that the knowledge of the system matrices, as well as the upper bounds of the disturbances and faults, is unknown. By incorporating a barrier-function like term into the Lyapunov function design, a novel model-free fault-tolerant control scheme is proposed in a parameterdependent form, and the state constraint requirements are guaranteed. The time-varying parameters are adjusted online based on an adaptive method to prevent the states from violating the constraints and compensate automatically the uncertainties, disturbances, and actuator faults. The time-invariant parameters solved by using data-based policy iteration algorithm are introduced for helping to stabilize the system. Furthermore, it is shown that the states converge asymptotically to zero without transgression of the constraints and all signals in the resulting closed-loop system are uniformly bounded. Finally, two simulation examples are provided to show the effectiveness of the proposed approach.

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Robust adaptive fault-tolerant control for uncertain linear systems with actuator failures

Cited by 292 publications

References 28 publications

Adaptive Fault Tolerant Control of UAV Attitude Control System

Adaptive Fault Tolerant Control of UAV Attitude Control System

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

Model‐free fault‐tolerant control approach for uncertain state‐constrained linear systems with actuator faults

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