RBF Neural Network-Based Sliding Mode Control for Ballistic Missile

摘要：

In this paper,the three channels’ nonlinear models of a ballistic missile are analysed.The coupled terms are taken as disturbances for every single channel,in order to realize the independent design for every channel and to simplify the structure of the control system.On the basis of it,an RBF neural network-based sliding mode controller is designed for every channel’s thrust vector control system of the ballistic missile.In the controller the RBF neural network modifies the parameter of the sliding mode controller to compensate the lumped uncertainty.The effectiveness of the proposed RBF neural network-based sliding mode control approach is demonstrated by the numerical simulation.

关键词： ballistic missile RBF neural network sliding mode control thrust vector control.

作者: Hongchao Zhao Zhiqiang Hou Ruchuan Zhang

作者单位: Department of Strategic Missile Engineering,Naval Aeronautical and Astronautical University,Yantai 2 Department of Flight Vehicle Engineering,Naval Aeronautical and Astronautical University,Yantai 2640 Graduate Students Brigade,Naval Aeronautical and Astronautical University,Yantai 264001,China

会议类型: 国际会议

会议名称: International Conference on Modelling,Identification and Control(模拟、鉴定、控制国际会议)

会议地点: 上海

会议语种:英文

在线出版日期: 2008-06-29（万方平台首次上网日期，不代表论文的发表时间）