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基于Backstepping的高超声速飞行器模糊自适应控制
引用本文:高道祥,孙增圻,罗 熊,杜天容.基于Backstepping的高超声速飞行器模糊自适应控制[J].控制理论与应用,2008,25(5):805-810.
作者姓名:高道祥  孙增圻  罗 熊  杜天容
作者单位:1. 清华大学,计算机科学与技术系智能技术与系统国家重点实验室,清华信息科学与技术国家实验室,北京,100084
2. 北京科技大学,信息工程学院,北京100083
3. 鞍山钢铁集团公司,辽宁,鞍山114043
基金项目:中国博士后科学基金,国家自然科学基金,空间智能控制技术国家级重点实验室基金
摘    要:提出了高超声速飞行器的模糊自适应控制方法.根据飞行器纵向模型的特点,分别设计了基于动态逆的速度控制器和基于Backstepping的高度控制器,模糊自适应系统用来在线辨识飞行器模型由于气动参数的变化而引起的不确定性,采用Lyapunov理论设计的自适应律保证了系统的稳定性与指令跟踪的精确性.仿真使用了高超声速飞行器的纵向模型对算法进行了验证,得到了较满意的控制效果.

关 键 词:高超声速飞行器  动态逆  飞行控制  模糊自适应控制
收稿时间:2007/3/21 0:00:00
修稿时间:1/7/2008 12:00:00 AM

Fuzzy adaptive control for hypersonic vehicle via Backstepping method
GAO Dao-xiang,SUN Zeng-qi,LUO Xiong and DU Tian-rong.Fuzzy adaptive control for hypersonic vehicle via Backstepping method[J].Control Theory & Applications,2008,25(5):805-810.
Authors:GAO Dao-xiang  SUN Zeng-qi  LUO Xiong and DU Tian-rong
Affiliation:State Key Laboratory of Intelligent Technology and System, Department of Computer Science and Technology, Tsinghua University, Tsinghua National Laboratory for Information Science and Technology, Beijing 100084, China;State Key Laboratory of Intelligent Technology and System, Department of Computer Science and Technology, Tsinghua University, Tsinghua National Laboratory for Information Science and Technology, Beijing 100084, China;School of Information Engineering, University of Science and Technology Beijing, Beijing 100083, China;An-Shan Iron and Steel Corporation, Anshan Liaoning 114043, China
Abstract:An adaptive fuzzy control strategy is proposed for the hypersonic aircraft. The dynamic inversion velocity controller and the Backstepping attitude controller are designed respectively based on the characteristics of the hypersonic vehicle model. The adaptive fuzzy system is then developed to identify the uncertain plant model in the presence of large variations in the aerodynamic parameters. The adaptation law designed by using Lyapunov theory guarantees the system stability and tracking accuracy. The longitudinal model of a hypersonic vehicle is used in demonstrating the effectiveness of the proposed strategy. Simulation results show the expected tracking performance.
Keywords:Backstepping
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