Dynamic Surface Control for Nonlinear Hypersonic Air Vehicle Using Neural Network
作者单位：School of AutomationBeijing University of Aeronautics and Astronautics
会议名称：《第二十九届中国控制会议》
会议日期：2010年
学科分类：0711[理学-系统科学] 12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 071102[理学-系统分析与集成] 081103[工学-系统工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：supported by NSF of China under Grant 60874044 Research Foundation for Key Disciplines of Beijing Municipal Commission of Education under Grant XK100060422
关 键 词：Adaptive Control Dynamic Surface Control Hypersonic Aircraft Neural Networks
摘 要：In this paper dynamic surface control（DSC）technique is combined with neural network based adaptive control design framework to design the longitudinal dynamics controller for a nonlinear generic hypersonic air vehicle（HSAV）.Detailed stability analysis is carried out to prove the uniform ultimate boundedness of all the signals in the closed loop *** effectiveness of the proposed strategy is demonstrated by simulation of the longitudinal model of the HSAV for trimmed cruise conditions of 110,000 ft and Mach 15 where the responses of the vehicle to a step change in altitude and airspeed are evaluated.