Boost-phase Missile Autopilot Design Based on SDRE with Adaptive Neural Networks

摘要：

　　Rapid time varying of parameters and aerodynamic uncertainties may degrade the performance of control system during the boost-phase of the missile.To overcome this problem,a controller should be designed to guarantee the performance and robustness with respect to environment change.In this study,a missile autopilot based on State Dependent Riccati Equation(SDRE)method and adaptive Neural Networks(NN)is proposed to deal with the issues arising in the boost phase.The proposed autopilot has two-loop structure,and each loop includes baseline controller based on SDRE and NN based auxiliary controller.The stability of the proposed autopilot is analyzed for the entire operating range of the missile.Numerical simulations involving model uncertainties are carried out to demonstrate the performance of the proposed controller.

关键词： Missile autopilot Boost phase SDRE Neural networks

作者: Jaeho Lee Youkyung Hong Yongwoo Lee Youdan Kim Gwanyoung Moon Byung-Eul Jun

作者单位: Department of Mechanical and Aerospace Engineering,Seoul National University,Seoul,Korea Agency for Defense Development,Daejeon,Korea

会议类型: 国际会议

会议名称: 2014 Asia-Pacific International Symposium on Aerospace Technology(2014亚太航空航天技术学术会议)

会议地点: 上海

会议语种:英文

页码: 1-13

在线出版日期: 2014-09-24（万方平台首次上网日期，不代表论文的发表时间）