A nonlinear control method based on fuzzy optimization algorithm for rudder roll stabilization

Abstract

To deal with the problem how to control the yaw and roll using rudder together for nonlinear ship roll stabilization motion, a nonlinear control method based on the feedback linearization method and closed-loop gain shaping algorithm is proposed in this paper. Firstly, the feedback linearization method is used to design the nonlinear controller, then closed-loop gain shaping algorithm is used to get the linear control law. When the roll motion is controlled by rudder, the loss of steering gear can be increase, to deal with this problem, the fuzzy algorithm is applied in the roll and yaw weighted coefficients optimization. Finally, simulation results show that the controller has a better adaptation for roll and yaw, and the loss of steering gear can be reduced by a rational selection of weighted coefficients. This method of ship motion control provides a new theory for rudder roll stabilization and it is proved that the control method has important theoretical significance and engineering application values.