Abstract
This paper refers to finding a new solution to the attitude tracking control problem for reusable launch vehicle in reentry phase with multiple disturbances. We address the problem by a new scheme, which integrating a nonlinear active disturbance rejection controller with a meta-heuristic algorithm. Firstly, the attitude model with strict-feedback form is constructed to facilitate the controller design. Then, an attitude tracking controller based on the nonlinear active disturbance rejection control is built. A linear tracking differentiator is utilized to arrange a transient profile and extract derivatives of the attitude reference input. A linear extended state observer with model-assisted term is chosen to estimate the multiple disturbances. A feedback control law with the model-assisted information and observer estimations is deduced to achieve rapid response. Futhermore, a novel meta-heuristic algorithm named grey wolf optimizer is developed to search for the optimal controller parameters by minimizing a criterion function. Finally, the main simulation results are given to validate the superiority of the proposed approach.
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Acknowledgments
This work was supported by the National Natural Science Foundation of China (Grant No. 11272349), and the Key Laboratory of Spacecraft Design Optimization and Dynamic Simulation Technologies (Beihang University), Ministry of Education, China (Grant No. 2019KF006).
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Wu, X., Luo, S., Liao, Y., Li, X., Li, J. (2020). Grey Wolf Optimizer Based Active Disturbance Rejection Controller for Reusable Launch Vehicle. In: Jia, Y., Du, J., Zhang, W. (eds) Proceedings of 2019 Chinese Intelligent Systems Conference. CISC 2019. Lecture Notes in Electrical Engineering, vol 592. Springer, Singapore. https://doi.org/10.1007/978-981-32-9682-4_10
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DOI: https://doi.org/10.1007/978-981-32-9682-4_10
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