Design of Adaptive Inverse Mode Wavelet Neural Network Controller of Fin Stabilizer

Based on the characteristics of ship roll motion, study of design of the adaptive inverse mode wavelet neural network (IMWNN) controller is presented and applied to the ship fin stabilizer control system, and the pseudo random binary signal (PRBS) is adopted as simulation input signal of wave slope angle to establish the ship roll motion model in this paper. Simulation results indicate the method can improve the shortcoming of poor adaptability of conventional PID control, and the control system has better characteristics of fault tolerance and stronger nonlinear adapting ability. The effectiveness of reducing ship roll motion is obviously observed in the simulation experiments