Generalized predictive control for fin stabilizer at zero speed based on T-S model

The output and input nonlinear of fin stabilizer at zero-speed with its uncertainty has led to complicated control structure and undesirable stabilizing effect. The drag-based force mechanism different from lift-based fin result in PID controller well done in high speed can't applied directly in zero speed fin stabilizer. A separating strategy was introduced in his paper to simplify the system structure and separate the input and output nonlinear of roll motion equation. Then a two step master slave controller based on T-S fuzzy model is used to control the zero-speed fin. Simulation results show: the master control based on GPC can improve the stabilizing effect at different periods of sea wave interference and have self-adaptability with the ship roll motion model.