Constrained Attitude Control of Uncertain Spacecraft With Appointed-Time Control Performance

Lu, Xuhui; Jia, Yingmin; Fu, Yongling; Matsuno, Fumitoshi

doi:10.1109/tsmc.2022.3174845

Cited by 7 publications

(2 citation statements)

References 65 publications

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“…On this basis, this paper will continue to carry out the research on the attitude of FTC of space tumbling target fly-around. In addition, there have been many mature research results on spacecraft attitude, such as SO (3) [32], quaternion [33], Rodriguez [34], etc. In this study, the error quaternion attitude dynamics equations will be established in the RLOS coordinate system.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Attitude Fault-Tolerant Control of Space Tumbling Target Fly-Around Based on RBF Neural Network

Liang

Zhang

2023

IEEE Access

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The flying around monitoring task of space tumbling target is one of the key links of its on-orbit service. Considering the practical constraints of system inertia uncertainty, external disturbance, actuator saturation, and fault in engineering practice, a robust composite controller based on radial basis function (RBF) neural network is proposed. First, in a new line of sight rotation (RLOS) coordinate system, the relative attitude kinematics and dynamics equations between the tracker and tumbling target based on the error quaternion are established; second, the RBF neural network is used to estimate the additive and multiplicative faults of the system, and the fast nonsingular terminal sliding mode surface (FNTSMS) is combined with the active disturbance rejection control (ADRC) technology to design a finite-time faulttolerant control (FTC) strategy with high accuracy, strong robustness, and anti-saturation based on the RBF neural network. It is proven that the designed robust fault-tolerant controller can ensure that the system state error converges to a small region containing the origin in a limited time under the Lyapunov framework. Finally, the effectiveness and superiority of the control strategy were verified by numerical simulation.

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Section: Introductionmentioning

confidence: 99%

Intelligent Attitude Fault-Tolerant Control of Space Tumbling Target Fly-Around Based on RBF Neural Network

Liang

Zhang

2023

IEEE Access

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“…In Reference 18 a vector-based adaptive control scheme was proposed for the constrained attitude tracking problem in the presence of parameter uncertainties and external disturbances. Note that the aforementioned results [16][17][18] are mainly concerned with epistemic uncertainties, which caused by lack of knowledge of flexible spacecraft properties or space environment during the attitude control system modeling and simulation. 19 Besides epistemic uncertainties, stochastic uncertainties caused by the randomness of the external environment or spacecraft properties also degrade the performance of the control system.…”

Section: Introductionmentioning

confidence: 99%

Constrained attitude control of flexible spacecraft with external disturbances and stochastic uncertainties on SO(3)

Zong,

Zhu,

Zhang

2023

Preprint

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This paper addresses constrained attitude control problems of flexible spacecraft on SO(3) subject to external disturbances and stochastic uncertainties without modal variable measurement. To handle the attitude constraints, an artificial potential function (APF) is constructed based on the rotation matrix. By combining the super-twisting control technique and the APF, a robust control law is proposed to achieve constrained attitude control of flexible spacecraft with external disturbances. Furthermore, an adaptive robust control law is developed without prior information on the bound of the norm of flexible vibration and external disturbances. The results are then extended to the case that stochastic uncertainties exist and the adaptive robust control law is modified by designing a Lyapunov-function-based control parameter. Numerical simulations are presented to demonstrate the effectiveness of the proposed control laws.

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BLNN-based adaptive control for a class of spacecraft proximity systems with output constraints and unmodeled dynamics

Ning,

Zhu,

Wang

et al. 2024

Advances in Space Research

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Constrained Attitude Control of Uncertain Spacecraft With Appointed-Time Control Performance

Cited by 7 publications

References 65 publications

Intelligent Attitude Fault-Tolerant Control of Space Tumbling Target Fly-Around Based on RBF Neural Network

Intelligent Attitude Fault-Tolerant Control of Space Tumbling Target Fly-Around Based on RBF Neural Network

Constrained attitude control of flexible spacecraft with external disturbances and stochastic uncertainties on SO(3)

BLNN-based adaptive control for a class of spacecraft proximity systems with output constraints and unmodeled dynamics

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