Research on Disturbance in NearspaceVehicle Longitudinal Trajectory System
作者单位：School of Electrical Engineering Huaihai Institute of Techology College of Automatic EngineeringNanjing University of Aeronautics and Astronautics
会议名称：《第25届中国控制与决策会议》
主办单位：IEEE;NE Univ;IEEE Ind Elect Chapter;IEEE Harbin Sect Control Syst Soc Chapter;Guizhou Univ;IEEE Control Syst Soc;Syst Engn Soc China;Chinese Assoc Artificial Intelligence;Chinese Assoc Automat;Tech Comm Control Theory;Chinese Assoc Aeronaut;Automat Control Soc;Chinese Assoc Syst Simulat;Simulat Methods & Modeling Soc;Intelligent Control & Management Soc
会议日期：2013年
学科分类：0711[理学-系统科学] 07[理学] 08[工学] 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]
关 键 词：dynamic surface control Robust Control Nearspace Vehicle neural network
摘 要：Considering the severe changes of aero-dynamic parameters and susceptibility on the external disturbances of nearspace vehicle （NSV）, a backstepping control strategy with robust adaptive dynamic surface is proposed in this paper for the disturbance problem in the NSV longitudinal trajectory system during the hypersonic process. Firstly, the complex nonlinear longitudinal dynamic model is transformed into nonlinear affine model by using the input-output feedback linearization method. Meanwhile, the computer explosion in the computation procedures for derivatives is avoided with the estimation of the virtual control law in one-order low pass filter. Then,the robustness item in the virtual controller ,which combined with approximation capability of neural network, is used to eliminate the parameter uncertainties and external disturbances in NSV. The simulation results show the improved robustness in this method with reduced complexity.