Fault‐tolerant control design for a class of nonlinear systems with actuator malfunctions

Guo, Lei; Lyu, Shangke; Yu, Xiang; Qiao, Jianzhong; Zhang, Youmin

doi:10.1002/rnc.5752

Cited by 7 publications

(5 citation statements)

References 52 publications

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“…In Reference 37, an adaptive SMC with projection method is designed that ensures constrained estimations of uncertain inertial parameters for a quadrotor. In Reference 38, for a class of nonlinear systems with actuator faults a multivariable SMC scheme with the aid of an adaptive single‐hidden‐layer feedforward network is designed. As reported in Reference 39, a fractional order SMC with adaptive fuzzy approximation technique is designed for the attitude system of a spacecraft subject to inertia uncertainty and multiple type actuator faults.…”

Section: Introductionmentioning

confidence: 99%

“…Because of the inevitable tracking errors, it is possible that the adaptive control parameters will not be able to converge. To address this issue, inspired by Xu et al, 43 this article proposes an adaptation law that can prevent overestimation of adaptive control parameters and suppress control chattering. To achieve actuator fault tolerance, instead of merely adaptively changing the discontinuous control component of SMC in contrast to the works in References 38 and 44, with the developed control strategy, the continuous and discontinuous control components are both constructed with adaptive parameters. In this case, the utilization of the discontinuous control component will be decreased, which can help to prevent control chattering.…”

Section: Introductionmentioning

confidence: 99%

“…To achieve actuator fault tolerance, instead of merely adaptively changing the discontinuous control component of SMC in contrast to the works in References 38 and 44, with the developed control strategy, the continuous and discontinuous control components are both constructed with adaptive parameters. In this case, the utilization of the discontinuous control component will be decreased, which can help to prevent control chattering.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An adaptive sliding mode fault‐tolerant control of a quadrotor unmanned aerial vehicle with actuator faults and model uncertainties

Wang

Shen

et al. 2023

Intl J Robust & Nonlinear

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An adaptive sliding mode fault‐tolerant control strategy is proposed for a quadrotor unmanned aerial vehicle in this article to accommodate actuator faults and model uncertainties. First, a new reaching law is proposed, with which a sliding mode control (SMC) law is constructed. The proposed reaching law is made up of a sliding variable and the distance between it and a designated boundary layer, and it can effectively suppress the unexpected control chattering while preserving the necessary system tracking performance. Then, an adaptive SMC scheme is proposed to further solve the fault and uncertainty compensation problem. The proposed adaptation law helps to prevent overestimation of the adaptive control parameters, as well as avoiding control chattering. Finally, a number of comparative simulation tests are carried out to validate the effectiveness and superiority of the proposed control strategy. The demonstrated quantitative comparison results confirm its advantages.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An adaptive sliding mode fault‐tolerant control of a quadrotor unmanned aerial vehicle with actuator faults and model uncertainties

Wang

Shen

et al. 2023

Intl J Robust & Nonlinear

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“…[1][2][3] Fault diagnosis is an important technology to ensure the safety of a nonlinear system. 4,5 Thrusters are the main actuation components, but they are also the main source of fault during the operation. [6][7][8][9] If the fault can be detected in the early stage, serious accidents may be avoided.…”

Section: Introductionmentioning

confidence: 99%

Weak thruster fault detection for AUV based on Bayesian network and Hidden Markov model

Yao

Chen

Liu

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part M:

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Weak thruster fault detection problem is investigated for Autonomous Underwater Vehicle (AUV) with being less than 10% loss of effectiveness fault in a thruster. For the weak thruster fault, the fault features are small in general, meanwhile the fault features are also difficult to be distinguished from the external disturbances including measurement noise. In this paper, a weak thruster fault detection method is developed based on Bayesian network and hidden Markov model. In the proposed method, the fault features are enhanced at first and then the fault detection is achieved based on the occurrence probability. Specifically, Bayesian network is applicable to enhance weak signals, but the prior knowledge is difficult to obtain for an AUV. To solve this problem, this paper introduces sparse decomposition into Bayesian network to enhance the weak thruster fault features. And then, a hidden Markov model is established to provide the likelihood probability between the observation sequence and the predict one. The fault detection is achieved according to comparing the probability and the threshold. Finally, pool-experimental results on an AUV are presented to verify the effectiveness of the developed fault detection method.

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“…However, they are closer to reality because the aerodynamic behaviour of the aircraft is itself nonlinear. Moreover, the existing works from the specialized literature considered either longitudinal dynamics (by acting on the elevators) (Guo et al, 2022;Liu et al, 2022), or lateral dynamics (by acting on the ailerons) (Chang et al, 2021). Assuming that longitudinal and lateral motions are uncoupled makes the control system much easier as it avoids complex NL relations between state variables.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Accommodation of a DC-8 Aircraft Affected by a Complete Loss of a Control Surface

Mlayeh¹,

Othman²

2022

STUD INFORM CONTROL

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The occurrence of failures in the control surfaces of an aircraft may become a serious threat to the safety of both aircraft and passengers. That is, using fault-tolerant control (FTC) is vital for such critical systems. The nonlinear progressive accommodation (NPA) is a FTC strategy that consists in solving the State-dependant Riccati Equation (SDRE) in an iterative way. The aim of this work is to study the efficiency of the NPA, in the case of a non-classical stabilization problem and a different modelling of a nonlinear (NL) system, affected by a total actuator failure. That is, a modified NPA strategy is proposed by combining the SDRE control and a feed-forward compensator, derived from the Forward-Propagation-Riccati-Equation (FPRE). The system considered in this paper is a full NL model of a DC-8 aircraft with coupled dynamics. The modelling of the aircraft as well as the simulation of the healthy, affected and accommodated system are presented. The proposed NPA method allows the aircraft to achieve a trajectory-following mission despite the complete failure of its actuator. Most importantly, by preserving the system's stability, the developed approach can be considered as a good alternative to the use of redundant actuators in aircraft.

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Fault‐tolerant control design for a class of nonlinear systems with actuator malfunctions

Cited by 7 publications

References 52 publications

An adaptive sliding mode fault‐tolerant control of a quadrotor unmanned aerial vehicle with actuator faults and model uncertainties

An adaptive sliding mode fault‐tolerant control of a quadrotor unmanned aerial vehicle with actuator faults and model uncertainties

Weak thruster fault detection for AUV based on Bayesian network and Hidden Markov model

Nonlinear Accommodation of a DC-8 Aircraft Affected by a Complete Loss of a Control Surface

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