Title :
Adaptive fuzzy sliding mode controller design for ship fin stabilizer under rough sea conditions
Author :
Hui Li ; Shufang Lu ; Chen Guo ; Xiaofang Li
Author_Institution :
Inf. Sci. & Technol. Coll, Dalian Maritime Univ., Dalian, China
Abstract :
Considering the nonlinearity, parameters perturbation and random waves disturbance to the ship fin stabilizer system during ship sailing on the rough sea, a robust controller based on sliding mode control which incorporates fuzzy tuning technique is proposed in this paper. The sliding mode control is used to force the ship roll to zero. The fuzzy tuning is adopted to eliminate the chattering of control input. The system stability is analyzed by using the Lyapunov theory. Simulation results show that the method is effective to decrease ship roll motion in rough sea conditions, and when the speed and initial metacentric height of ship change, high anti-rolling efficiency is still maintained, which prove that the control strategy presented in this paper has strong robustness.
Keywords :
Lyapunov methods; adaptive control; control system synthesis; fuzzy control; robust control; ships; variable structure systems; Lyapunov theory; adaptive fuzzy sliding mode controller design; fuzzy tuning; random waves disturbance; robust controller; rough sea conditions; ship fin stabilizer; Force; Marine vehicles; Mathematical model; Robustness; Sliding mode control; Torque; Fin stabilizer; fuzzy tuning; sliding mode control;
Conference_Titel :
Information and Automation (ICIA), 2014 IEEE International Conference on
Conference_Location :
Hailar
DOI :
10.1109/ICInfA.2014.6932718