Title :
Applying Generalized Minimum Variance Control for ship´s steering control system
Author :
Doi, Masayoshi ; Nagamoto, Kazuhisa ; Osaka, Yutaka ; Takehira, Tetsuya ; Mori, Yasuchika
Author_Institution :
Dept. of Intell. Mech. Eng., Hiroshima Inst. of Technol., Hiroshima, Japan
Abstract :
Handling ships is difficult because the response of ship´s maneuver is slow with the big inertia. First, in this study, the ship´s maneuverability is identified, which is expressed as Auto-Regressive Moving Average (ARMA) model, by steering. Second, a delay time of the angular velocity is verified. Finally, a ship´s steering control system is designed with the angular velocity which is controlled by applying Generalized Minimum Variance Control (GMVC) of predictive control method.
Keywords :
angular velocity control; autoregressive moving average processes; predictive control; ships; steering systems; angular velocity delay time; auto regressive moving average model; generalized minimum variance control; predictive control; ship maneuverability; ship steering control system; Angular velocity; Cost function; Delay; Manuals; Marine vehicles; Mathematical model; Servomotors; delay time; generalized minimum variance control; predictive control; servo system; steering;
Conference_Titel :
SICE Annual Conference 2010, Proceedings of
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-7642-8
