论文:2019,Vol:37,Issue(4):656-663
引用本文:
闫斌斌, 李勇, 戴沛, 邢慕增. 基于增强学习的变体飞行器自适应变体策略与飞行控制方法研究[J]. 西北工业大学学报
YAN Binbin, LI Yong, DAI Pei, XING Muzeng. Adaptive Wing Morphing Strategy and Flight Control Method of a Morphing Aircraft Based on Reinforcement Learning[J]. Northwestern polytechnical university

基于增强学习的变体飞行器自适应变体策略与飞行控制方法研究
闫斌斌1, 李勇2, 戴沛1, 邢慕增1
1. 西北工业大学 航天学院, 陕西 西安 710072;
2. 上海机电工程研究所, 上海 201109
摘要:
变体飞行器能根据飞行环境和飞行任务的需要,相应地改变外形,从而始终保持最优的飞行状态,以满足在大飞行包线下执行多种任务的要求。以具有多种翼型的Firebee无人机作为研究对象,利用DATCOM计算气动数据,并展开气动分析。之后,基于增强学习理论,提出一种新型的变体飞行器翼型自适应控制方法。该方法可以很好地满足变体飞行器在多任务状态下保持最优性能的需要,并且设计的高度子系统的三回路法向过载控制器和速度子系统的滑模控制器可以确保飞行器在变体过程中保持稳定,并且跟踪误差较小。
关键词:    变体飞行器    纵向模型    增强学习    飞行控制   
Adaptive Wing Morphing Strategy and Flight Control Method of a Morphing Aircraft Based on Reinforcement Learning
YAN Binbin1, LI Yong2, DAI Pei1, XING Muzeng1
1. School of Astronautics, Northwestern Polytechnical University, Xi'an 710072, China;
2. Shanghai Electro-Mechanical Engineering Institute, Shanghai 201109, China
Abstract:
The morphing aircraft can change different wing shapes or geometries to achieve the optimal flight performance according to various mission scenarios. In this paper, DATCOM is used to calculate aerodynamic parameters based on Firebee UAV morphing aircraft with different wing configurations and analyze aerodynamic characteristics. A novel adaptive wing morphing strategy for morphing aircraft based on reinforcement learning method is proposed. This method can highly meet the demand of keeping optimal performance in multiple flight conditions, and the adaptive wing morphing strategy, three-loop normal load altitude controller and sliding mode velocity controller can together make sure stability of morphing aircraft during morphing process with good tracking performance.
Key words:    morphing aircraft    longitudinal model    reinforcement learning    flight control   
收稿日期: 2018-08-08     修回日期:
DOI: 10.1051/jnwpu/20193740656
基金项目: 国家自然科学基金委员会与中国工程物理研究院NSAF联合基金(U1730135)资助
通讯作者:     Email:
作者简介: 闫斌斌(1980-),西北工业大学副教授,主要从事飞行器制导、控制研究。
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参考文献:
[1] BARBARINO S, BILGEN O, AJAJ R M, et al. A Review of Morphing Aircraft[J]. Journal of Intelligent Material Systems & Structures, 2011, 22(9):823-877
[2] GRANT D, ABDULRAHIM M, LIND R. Flight Dynamics of a Morphing Aircraft Utilizing Independent Multiple-Joint Wing Sweep[C]//AIAA Atmospheric Flight Mechanics Conference and Exhibit, 2006
[3] YUE T, WANG L, AI J. Longitudinal Linear Parameter Varying Modeling and Simulation of Morphing Aircraft[J]. Journal of aircraft, 2013, 50(6):1673-1681
[4] TONG L L, JI H. Multi-Body Dynamic Modelling and Flight Control for an Asymmetric Variable Sweep Morphing UAV[J]. The Aeronautical Journal, 2014, 118(1204):683-706
[5] LIU C, ZHANG S. Novel Robust Control Framework for Morphing Aircraft[J]. Journal of Systems Engineering and Electronics, 2013, 24(2):281-287
[6] VALASEK J, DOEBBLER J, TANDALE M D, et al. Improved Adaptive-Reinforcement Learning Control for Morphing Unmanned Air Vehicles[J]. IEEE Trans on Systems Man & Cybernetics Part B, 2008, 38(4):1014-1020
[7] 杨贯通. 变体飞行器建模与控制方法研究[D]. 北京:北京理工大学, 2015 YANG Guantong. Research on Modeling and Control of Morphing Flight Vehicles[D]. Beijing, Beijing Institute of Technology, 2015(in Chinese)
[8] JOSHI S, TIDWELL Z, CROSSLEY W, et al. Comparison of Morphing Wing Stategies Based upon Aircraft Performance Impacts[C]//45th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics & Materials Conference, 2004
[9] SEIGLER T M. Dynamics and Control of Morphing Aircraft[D]. Virginia, Virginia Polytechnic Institute and State University, 2005
[10] 吴洪岩. 基于强化学习的自主移动机器人导航研究[D]. 吉林:东北师范大学, 2009:11-13 WU Hongyan. The Research on Autonomous Mobile Robot Navigation Based on Reinforcement Learning[D]. Jilin, Northeast Normal University, 2009:11-13(in Chinese)