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.