Anti-disturbance inverse optimal control for spacecraft position and attitude maneuvers with input saturation

Author:

Pukdeboon Chutiphon1

Affiliation:

1. Nonlinear Dynamic Analysis Research Center, Department of Mathematics, Faculty of Applied Science, King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand

Abstract

In this article, a new anti-disturbance inverse optimal translation and rotation control scheme for a rigid spacecraft with external disturbances and actuator constraint is presented. An inverse optimal controller with input saturations is designed to achieve asymptotic convergence to the desired translation and attitude and avoid the unwinding phenomenon. The derived optimal control law can minimize a given cost functional and guarantee the stability of the closed-loop system. Later, a new sliding mode disturbance observer is also proposed to compensate for the total disturbances. A rigorous Lyapunov analysis is employed to ensure the finite-time convergence of observer error dynamics. A numerical simulation of position and attitude maneuvers is given to verify the performance of the developed controller.

Publisher

SAGE Publications

Subject

Mechanical Engineering

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Interval Uncertainty-Oriented Optimal Control Method for Spacecraft Attitude Control;IEEE Transactions on Aerospace and Electronic Systems;2023

2. H inverse optimal attitude tracking on the special orthogonal group SO(3);International Journal of Control;2022-10-06

3. Suboptimal control law for a near-space hypersonic vehicle based on Koopman operator and algebraic Riccati equation;Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering;2022-01-11

4. Inverse Optimal Control Based on Improved Grey Wolf Optimization Algorithm;2021 13th International Conference on Electrical and Electronics Engineering (ELECO);2021-11-25

5. Observer-Based Adaptive Sliding Mode Control for Soft Actuators with Input Constraints;Proceedings of 2021 Chinese Intelligent Automation Conference;2021-10-08

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