An Adaptive Control Method for Fin Stabilizer Using Saturated Nonlinear Lift Compensation

Abstract

In order to prevent the fin stabilizer from stalling dynamically and to ensure the safety of the actuator in high sea conditions, it is necessary to restrict the angle and lift of the fin, which can provide the limited control moment. Excessive control moment is difficult to achieve. Lift saturation may affect ship stability and anti-rolling effect. Serious cases may cause instability of the system and fin vibration. This paper designs a control model based on RBF neural network for dynamic lift compensation. The variable structure adaptive control strategy is designed to improve the problem that conventional control methods are only effective for specific situations. Compared with the conventional variable structure control method, the variable structure control method based on saturated nonlinear lift compensation can avoid the discontinuity of control moment and restrain the elastic vibration of flexible structure.