An Adaptive Fuzzy Neural Network Nonlinear Control Algorithm for STT Anti-ship Missile
A new nonlinear control algorithm of combining dynamic inversion, adaptive fuzzy neural network and sliding mode control has been developed. The nonlinear dynamic theory is used to approximate linearization of the nonlinear system;the system dynamic inversion error is compensated by adaptive fuzzy neural network. The adaptive weights adjustment rule is derived by using lyapunov stability theory,and the system robustness is guaranteed by using sliding mode control and robustness control. The presented nonlinear control algorithm is applied to one STT missile control system, the simulation results show the proposed algorithm can eliminate the influence brought by disturbance availably, raise the precision of missile overload control system response.
Nonlinear Control Dynamic Inversion Fuzzy Neural Network Adaptive Adjustment Law Sliding Mode Control
Changpeng Pan Jie Chen Wenjin Gu
Department of Command, Naval Aeronautical Engineering Institute Yantai, Shandong, 264001, China Department of Control Engineering, Naval Aeronautical Engineering Institute Yantai, Shandong, 264001
国际会议
杭州
英文
985-989
2006-10-12（万方平台首次上网日期，不代表论文的发表时间）