Learning observer based and event-triggered control to spacecraft against actuator faults

Zhang, Chengxi; Wang, Jihe; Zhang, Dexin; Shao, Xiaowei

doi:10.1016/j.ast.2018.05.007

Cited by 75 publications

(44 citation statements)

References 33 publications

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“…Moreover, from (46) and (48), the system state z and observation errors can converge to an arbitrarily small bounded range around zero for properly chosen values of {ε i } and Ψ, even though the bound of the derivative of the extended state is unknown. The input-to-state stability of the ith ESO is ensured by the parameterization of the functions g ji , j ∈ {1, 2}, and ϕ(θ), as chosen in Section 2, which satisfy the requirements in (19) and 20- (23). The function ϕ(θ) is the nonlinear part of the ESO.…”

Section: Resultsmentioning

confidence: 99%

“…In this regard, event-triggered control can reduce communication bandwidth and power to save more resources for other tasks, and also can increase the service lifetime of the entire system. Event-based sampling and control was originally introduced in [11] and has been applied in many control problems [12][13][14][15], including attitude control of the spacecraft [16][17][18][19]. In [16], an event-triggered control approach to reduce the control-updating frequency was proposed for spacecraft-attitude stabilization, but without considering the effect of disturbances.…”

Section: Introductionmentioning

confidence: 99%

“…Attitude stabilization with an event-triggered mechanism and external disturbances was considered in [18]. In [19], an observer-based event-triggered control approach was proposed to cope with external disturbances and actuator faults and to reduce the control-updating frequency.…”

Section: Introductionmentioning

confidence: 99%

“…Unlike Refs. [16][17][18][19], which focused upon attitude stabilization, we investigated an event-triggered attitude-tracking problem for a spacecraft with inertial uncertainties and external disturbances. In particular, we reduced the transmission frequency of measurements of the states, rather than the controlupdating frequency.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Event-triggered attitude tracking for rigid spacecraft

Cai

Zou

Wang

et al. 2019

Sci. China Inf. Sci.

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This study aims to investigate the problem of attitude control for a spacecraft with inertial uncertainties, external disturbances, and communication restrictions. An event-triggered active disturbance rejection control approach is proposed for attitude tracking of the spacecraft. An event-triggered mechanism is introduced together with an extended state observer to jointly monitor the system states and total disturbances. The observation error is proved to be uniformly bounded. Based on the proposed control scheme, the integrated tracking system is shown to be asymptotically stable, implying successful attitude tracking of the spacecraft for the desired motion. Numerical results illustrate the effectiveness of the control strategy in achieving satisfactory tracking performance with a reduced data-transmission cost.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Event-triggered attitude tracking for rigid spacecraft

Cai

Zou

Wang

et al. 2019

Sci. China Inf. Sci.

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“…Promising results have been reported to address some of these problems, such as adaptive robust control [2], sliding mode control [3], [4], [5], intelligent control [3], [5], [6], [7], backstepping control [6], [8], hybrid control [9], active disturbance rejection control (ADRC) [10], event-triggered control [11], and optimal control [12]. However, it is still difficult to simultaneously handle finite-time convergence, model uncertainties, external disturbances, subsystem faults/failures, and input saturation at the same time, due to various strong nonlinearity in spacecraft dynamics., since spacecraft is a nonlinear system.…”

Section: Introductionmentioning

confidence: 99%

Neural Network-Based Adaptive Control for Spacecraft Under Actuator Failures and Input Saturations

Zhou

Kawano

Cao

2020

IEEE Trans. Neural Netw. Learning Syst.

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In this paper, we develop attitude tracking control methods for spacecraft as rigid bodies against model uncertainties, external disturbances, subsystem faults/failures, and limited resources. A new intelligent control algorithm is proposed using approximations based on radial basis function neural networks (RBFNN) and adopting the tunable parameter-based variable structure (TPVS) control techniques. By choosing different adaptation parameters elaborately, a series of control strategies are constructed to handle the challenging effects due to actuator faults/failures and input saturations. With the help of Lyapunov theory, we show that our proposed methods guarantee both finitetime convergence and fault-tolerance capability of the closed-loop systems. Finally, benefits of the proposed control methods are illustrated through five numerical examples. Index Terms-Attitude tracking, fault-tolerant control, input saturations, neural network control, finite-time control. Defineδ 1 := min{δ 1,1 ,δ 1,2 }. Note that thisδ 1 can be made arbitrary small by making K S , K ρ sufficiently large. According to Lemma 3, for any positive constantsδ 1 , ε 1 and ε 2 , and any S * (0) , there existsT 2 :=T 2 (S * (0),θ * (0),η * (0),δ 1) > 0 such that S * (t) ≤δ 1 for all t ≥T 2 .

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Actuator fault estimation based on generalized learning observer for quasi‐linear parameter varying systems

Zetina‐Rios

Osorio-Gordillo

Vargas-Méndez

et al. 2021

Adaptive Control & Signal

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Summary This article presents a generalized learning observer (GLO) design for the simultaneous estimation of states and actuator faults for polytopic quasi‐linear parameter varying systems. The proposed approach is based on the use of a GLO, which generalized the existing results on the proportional‐integral observers. Conditions of existence and stability of the observer are given through the stability analysis in the sense of Lyapunov. Its design is obtained in terms of a set of linear matrix inequalities. The performance of the proposed method is evaluated by simulation in a one‐link‐flexible joint robot system.

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Learning observer based and event-triggered control to spacecraft against actuator faults

Cited by 75 publications

References 33 publications

Event-triggered attitude tracking for rigid spacecraft

Event-triggered attitude tracking for rigid spacecraft

Neural Network-Based Adaptive Control for Spacecraft Under Actuator Failures and Input Saturations

Actuator fault estimation based on generalized learning observer for quasi‐linear parameter varying systems

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