Genetic algorithms for the controller design of stabilization fins

A fuzzy logic controller designed by genetic algorithms for a fin stabilizer system of ships is investigated. In the system, the roll angle and roll velocity of ships are chosen as the input variables of the controller to obtain the desired command for driving the active fins. The membership functions of the fuzzy sets for the input and output variables are determined by generic algorithms. Some numerical simulations show the high efficiency of roll reduction by the stabling system with this controller for irregular wave load. The antiroll performance of present controller is better than ordinary fuzzy and classic controller. This system also performs well under free decay and steady wind load. Moreover, the efficiency of ship roll reduction will be kept for various ship speeds in this scheme.