A novel control method based on fuzzy optimization algorithm of ship lateral motion control

Considering the problem of ship lateral motion control, a novel method based on the closed-loop gain shaping algorithm and T-S fuzzy optimization algorithm is proposed. The T-S fuzzy optimization algorithm is applied in the weighted coefficients of roll and yaw in this paper. According to the closed-loop gain shaping algorithm, robust PID controllers to roll and yaw are designed and then they are combined into the lateral controller. Because of the loss of steering gear can be increase when the roll motion is controlled by rudder, T-S fuzzy algorithm is applied in the weighted coefficients optimization. The simulation results show that the controller has strong robustness and adaptation for ship lateral motion control as well as the loss of steering gear can be reduced by a rational selection of weighted coefficients. This method of ship lateral motion control provides a new theory for rudder roll stabilization and establishes a theoretical foundation for the application in practical engineering.