Modeling for ship roll-added-resistance and its application on fin stabilizer control system

Large roll motion induced by sea waves can severely affect the ability of surface ships and the ship speed will loss due to added resistance which caused by ship motions, especially in high sea states. In addition, with increasing needs of fuel efficiency and emissions reduction, the effect of added resistance on surface ship performance and control quality must be considered when a ship roll stabilisation control system is designed. An alternative roll added resistance model is introduced based on the near field method and the software ANSYS-AQWA is selected to determine the model parameters. As an application, fin stabilizer system is activated with a neural network proportional-integral-derivative (NN-PID) controller base on genetic algorithm (GA). Two kinds of input reference signals are adopted to investigate the effectiveness of this idea.