Neural Adaptive Fixed-Time Attitude Stabilization and Vibration Suppression of Flexible Spacecraft

Yao, Qijia; Jahanshahi, Hadi; Moroz, Irene M.; Alotaibi, Naif D.; Bekiros, Stelios

doi:10.3390/math10101667

Cited by 21 publications

(6 citation statements)

References 39 publications

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“…For the purpose of convergence rate improvement, an adaptive attitude control scheme with fixed-time convergence for flexible spacecraft has been reported in [29]. In the present fixed-time sliding mode-based controls in [23][24][25][26][27][28][29][30][31][32], the convergence time is a function of twelve parameters; six parameters for the sliding surface and six parameters for the control input. Hence, to achieve a prescribed settling time for the closed-loop system, a complicated and tedious parameter tuning is needed.…”

Section: Introductionmentioning

confidence: 99%

Constrained Nonsingular Terminal Sliding Mode Attitude Control for Spacecraft: A Funnel Control Approach

2023

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This paper presents an adaptive constrained attitude control for uncertain spacecraft. Inspired by the concept of nonsingular terminal sliding mode control and funnel control for nonlinear systems, a novel adaptive attitude control is introduced which contains a time-varying gain to handle the constraints imposed on the spacecraft attitude. Indeed, when the attitude trajectory approaches the boundary of the constraint set, the control effort as well as the time-varying gain will increase in order to preclude the trajectory from intersecting the boundary. Then, it is analytically proved that the system trajectories converge to an arbitrary small region around the origin within a fixed time where the smallest upper bound of the convergence time is determined as an independent parameter in the controller. Further, the proposed control scheme is nonsingular without having to use any piecewise continuous function which simplifies stability analysis. These properties distinguish the proposed control scheme from the existing finite/fixed-time attitude controls. Finally, several simulation results confirm the robustness and performance of the proposed control framework.

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Section: Introductionmentioning

confidence: 99%

Constrained Nonsingular Terminal Sliding Mode Attitude Control for Spacecraft: A Funnel Control Approach

2023

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“…In [14], a composite adaptive neural prescribed performance control ensuring the prescribed performance of transient response and attitude trajectory convergence in a preselected finite settling time is proposed. Fixed-time attitude control and stabilization using a neural network is considered in [15]. Fuzzy-logic optimal control was investigated in [16].…”

Section: Introductionmentioning

confidence: 99%

Attitude Stabilization of a Satellite with Large Flexible Elements Using On-Board Actuators Only

Tkachev,

Shestoperov,

Okhitina

et al. 2023

Mathematics

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Attitude control of a satellite with three flexible elements is considered. Control torque is developed by a set of reaction wheels, which are installed on the central hub of the satellite. The flexible elements are large, so the control torque constraints must be taken into account. In the paper, a control algorithm based on a linear-quadratic regulator is studied. The asymptotic stability of this control is shown. The choice of the control parameters is based on the closed form solution of the corresponding algebraic Riccati equation, which is supplemented by the linear matrix inequality. To increase the convergence rate, particle swarm optimization is used to tune the control parameters.

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“…In some extreme cases, the USV attitude dynamic model may be completely unknown, and thus these model-based controllers cannot be directly implemented. The intelligent control is another efficient approach for the attitude control of USV by adopting the neural networks (NNs) or fuzzy logic systems to directly construct the controllers or embedding the NNs or fuzzy logic systems into the baseline controllers (Alabazares et al, 2021; Guan et al, 2005; Hu and Xiao, 2012; Leeghim et al, 2009; Yang and Yan, 2016a, 2016b; Yao et al, 2022a, 2022b; Zou, 2016; Zou et al, 2011). Owing to the powerful universal approximation ability of NNs and fuzzy logic systems, the intelligent control is model-free and does not require any prior knowledge on the system model.…”

Section: Introductionmentioning

confidence: 99%

Adaptive neural fault-tolerant control for output-constrained attitude tracking of unmanned space vehicles

Yao

Jahanshahi

Golestani

2022

Transactions of the Institute of Measurement and Control

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The challenging problem of attitude tracking control for unmanned space vehicles (USVs) subject to actuator faults and output constraints is addressed in this study. A novel adaptive neural fault-tolerant controller is proposed by integrating the neural networks (NNs) and barrier Lyapunov function (BLF) with the backstepping technique. Two NNs are adopted to approximate the uncertain nonlinear terms caused by unknown attitude dynamics and actuator faults, respectively. Moreover, the BLF is introduced to tackle the output constraints. It is strictly proved that all the closed-loop error signals are uniformly ultimately bounded under the proposed controller. Totally, the proposed adaptive neural fault-tolerant controller has the following two distinctive features. (1) The proposed controller is model-free and can still be applicable even when the USV attitude dynamic model is completely unknown in advance. (2) The proposed controller can guarantee the attitude tracking error always within the predefined output constraints even in the presence of actuator faults and thus ensuring safety. Finally, the excellent tracking performance of the proposed controller is verified through numerical simulations and comparisons.

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Neural Adaptive Fixed-Time Attitude Stabilization and Vibration Suppression of Flexible Spacecraft

Cited by 21 publications

References 39 publications

Constrained Nonsingular Terminal Sliding Mode Attitude Control for Spacecraft: A Funnel Control Approach

Constrained Nonsingular Terminal Sliding Mode Attitude Control for Spacecraft: A Funnel Control Approach

Attitude Stabilization of a Satellite with Large Flexible Elements Using On-Board Actuators Only

Adaptive neural fault-tolerant control for output-constrained attitude tracking of unmanned space vehicles

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