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

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...

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Bibliographic Details
Published in:Computer modeling in engineering & sciences Vol. 122; no. 1; pp. 131 - 148
Main Authors: Liu, Kai, Hou, Zheng, She, Zhiyong, Guo, Jian
Format: Journal Article
Language:English
Published: Henderson Tech Science Press 01.01.2020
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ISSN:1526-1492, 1526-1506, 1526-1506
Online Access:Get full text
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Summary: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.
Bibliography:1526-1492(20200115)122:1L.131;1-
ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1526-1492
1526-1506
1526-1506
DOI:10.32604/cmes.2020.08124