Composite dynamic surface control of hypersonic flight dynamics using neural networks

作     者：ZHANG ShangMin LI ChunWen ZHU JiHong 

作者机构：Department of Automation Tsinghua University Department of Computer Science and Technology Tsinghua University 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2015年第58卷第7期

页      面：40-48页

核心收录：

学科分类：08[工学] 081105[工学-导航、制导与控制] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程] 

主　　题：hypersonic flight vehicle composite dynamic surface control neural network longitudinal dynam-ics stability 

摘      要：This paper addresses the composite neural tracking control for the longitudinal dynamics of hypersonic flight dynamics. The dynamics is decoupled into velocity subsystem, altitude subsystem, and attitude subsystem. For the altitude subsystem, the reference command of flight path angle is derived for the attitude subsystem. To deal with the system uncertainty and provide efficient neural learning, the composite law for neural weights updating is studied with both tracking error and modeling error. The uniformly ultimate boundedness stability is guaranteed via Lyapunov approach. Under the dynamic surface control with novel neural design, the neural system converges in a faster mode and better tracking performance is obtained. Simulation results are presented to show the effectiveness of the design.