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论文:2019,Vol:37,Issue(3):532-540 |
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引用本文： |
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李爱军, 王瑜, 郭永, 王长青. 空天飞行器姿态直接力/气动力复合控制[J]. 西北工业大学学报 |
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LI Aijun, WANG Yu, GUO Yong, WANG Changqing. Attitude Blended Control for Aerospace Vehicle with Lateral Thrusters and Aerodynamic Fins[J]. Northwestern polytechnical university |
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| 空天飞行器姿态直接力/气动力复合控制 |
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| 李爱军, 王瑜, 郭永, 王长青 |
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| 西北工业大学 自动化学院, 陕西 西安 710129 |
| 摘要: |
| 针对空天飞行器再入段姿态控制问题，根据神经网络、滑模控制理论和控制分配技术，提出了一种有限时间复合控制策略。首先，根据空天飞行器再入段姿态模型设计了一种有限时间收敛的神经网络滑模控制器，得到使姿态角误差有限时间收敛的虚拟控制力矩。其次，采用控制分配技术将期望控制力矩映射到气动舵面和反推力系统。最后，通过对直接力/气动力复合控制的空天飞行器的仿真研究，验证了所提出复合控制策略的有效性。 |
| 关键词:
神经网络
有限时间控制
控制分配
反推力系统
复合控制
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| Attitude Blended Control for Aerospace Vehicle with Lateral Thrusters and Aerodynamic Fins |
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| LI Aijun, WANG Yu, GUO Yong, WANG Changqing |
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| School of Automation, Northwestern Polytechnical University, Xi'an 710129, China |
| Abstract: |
| 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
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| 收稿日期: 2018-05-22
修回日期:
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| DOI: 10.1051/jnwpu/20193730532 |
| 基金项目: 航空科学基金（20160153003，2016ZC53019）与中央高校基本科研业务费专项基金（3102017OQD026）资助 |
| 通讯作者:
Email： |
| 作者简介: 李爱军(1972-),西北工业大学教授,主要从事飞行器控制与仿真、先进控制理论及应用研究。
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| 相关功能 |
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| 作者相关文章 |
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| 李爱军 在本刊中的所有文章 |
| 王瑜 在本刊中的所有文章 |
| 郭永 在本刊中的所有文章 |
| 王长青 在本刊中的所有文章 |
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