Parameter optimization and simulation of fin stabilizer PID controller based on improved genetic algorithm

In the actual process of ship navigation, the sea state will change at any time according to the ocean climate. This change is uncertain. The conventional fin stabilizer control system often works poorly and the anti rolling effect cannot reach the ideal state due to engineering tuning, inaccurate parameter setting and other reasons. In this paper, genetic algorithm is used to optimize the three parameters of fin stabilizer PID control, so that the fin stabilizer control is always in the best working state, in order to achieve the desired effect of roll reduction.