Volume 37, Number 3, June 2019
|Page(s)||532 - 540|
|Published online||20 September 2019|
Attitude Blended Control for Aerospace Vehicle with Lateral Thrusters and Aerodynamic Fins
School of Automation, Northwestern Polytechnical University, Xi'an 710129, China
A finite-time blended control strategy is proposed for the reentry phase attitude control of the aerospace vehicle (ASV) based on the neural network, sliding mode control theory and control allocation. Firstly, a finite-time neural networks sliding mode controller is designed based on the attitude model of the ASV in the reentry phase to obtain the virtual control moments which can make the attitude error converge to the equilibrium point in finite time. Secondly, the desired control moments are mapped into the control commands on the aerodynamic deflectors and the reaction control system (RCS) by using the control allocation. Finally, simulation results are provided to demonstrate the effectiveness of the attitude blended control strategy proposed.
Key words: neural network / finite-time control / control allocation / reaction control system / blended control / aerospace vehicle / sliding mode control / simulation
关键字 : 神经网络 / 有限时间控制 / 控制分配 / 反推力系统 / 复合控制
© 2019 Journal of Northwestern Polytechnical University. All rights reserved.
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