Research on Disturbance in NearspaceVehicle Longitudinal Trajectory System

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.

关键词： dynamic surface control Robust Control Nearspace Vehicle neural network

作者: HE Nai-bao GAO Qian GONG Cheng-long JIANG Chang-sheng

作者单位: School of Electrical Engineering, Huaihai Institute of Techology, Lianyungang 222005, China College of Automatic Engineering,Nanjing University of Aeronautics and Astronautics, Nanjing,210016,

会议类型: 国际会议

会议名称: the 25th Chinese Control and Decision Conference(第25届中国控制与决策会议)

会议地点: 贵阳

会议语种:英文

页码: 159-162

在线出版日期: 2013-05-01（万方平台首次上网日期，不代表论文的发表时间）