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Reentry Attitude Tracking Control for Hypersonic Vehicle with Reaction Control Systems via Improved Model Predictive Control Approach

Kai Liu1, 2, Zheng Hou2, *, Zhiyong She2, Jian Guo2

1 School of Aeronautics and Astronautics, Dalian University of Technology, Dalian, 116024, China.
2 Key Laboratory of Advanced Technology for Aerospace Vehicles, Dalian, 116024, China.
3 Beijing Institute of Aerospace Technology, Beijing, 100074, China.

* Corresponding Author: Zheng Hou. Email: email.

(This article belongs to this Special Issue: Nonlinear Computational and Control Methods in Aerospace Engineering)

Computer Modeling in Engineering & Sciences 2020, 122(1), 131-148. https://doi.org/10.32604/cmes.2020.08124

Abstract

This paper studies the reentry attitude tracking control problem for hypersonic vehicles (HSV) equipped with reaction control systems (RCS) and aerodynamic surfaces. The attitude dynamical model of the hypersonic vehicles is established, and the simplified longitudinal and lateral dynamic models are obtained, respectively. Then, the compound control allocation strategy is provided and the model predictive controller is designed for the pitch channel. Furthermore, considering the complicated jet interaction effect of HSV during RCS is working, an improved model predictive control approach is presented by introducing the online parameter estimation of the jet interaction coefficient for dealing with the uncertainty and disturbance. Moreover, considering the strong coupling effect between the yaw channel and roll channel, a coupled model predictive controller is designed by introducing the feedback of sideslip angle into the roll control channel to eliminate the coupling effect. Finally, the comparison simulations using the classical control method, MPC and IMPC approach are given to demonstrate the effectiveness and efficiency of the presented IMPC scheme.

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Cite This Article

Liu, K., Hou, Z., She, Z., Guo, J. (2020). Reentry Attitude Tracking Control for Hypersonic Vehicle with Reaction Control Systems via Improved Model Predictive Control Approach. CMES-Computer Modeling in Engineering & Sciences, 122(1), 131–148.

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cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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