DocumentCode
669577
Title
Dynamics analysis and optimal control of a marine diesel engine
Author
Nakatani, Takeshi ; Miwa, Takashi ; Yamatani, Naohiro ; Sasaya, Keiji ; Okada, Daiki ; Kaneda, Tadahiro ; Kanayama, Emi ; Ura, Erika
Author_Institution
Dept. of Maritime Technol., Nat. Coll. of Technol., Toyama, Japan
fYear
2013
fDate
20-23 Oct. 2013
Firstpage
1261
Lastpage
1265
Abstract
This paper describes dynamics analysis of a governor-engine control system in a marine diesel engine and its optimal control at sea. A new governor system is developed which takes into account the ship´s motion, and the results of full-scale experiments using the new system are presented. Statistical analysis using a Multivariate Auto Regressive (MAR) model is performed on data collected from the sea trial of a small training ship, the Shioji Maru. It is shown that the speed of the ship´s propeller is strongly influenced by the ship´s pitching motion. Based on this observation, a new type of marine governor that takes the ship´s pitching motion into account is designed using modern multivariate control theory. Finally, full-scale experiments into the performance of the new system are conducted.
Keywords
autoregressive processes; control system synthesis; diesel engines; hydrodynamics; marine control; optimal control; propellers; ships; statistical analysis; MAR model; Shioji Maru; dynamic analysis; full-scale experiments; governor-engine control system; marine diesel engine; marine governor; modern multivariate control theory; multivariate autoregressive model; optimal control; ship pitching motion; ship propeller speed; statistical analysis; training ship; Actuators; Erbium; Propulsion; Switches; AIC; AR model; Control; Diesel engine; Full-scale experiment; Governor;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation and Systems (ICCAS), 2013 13th International Conference on
Conference_Location
Gwangju
ISSN
2093-7121
Print_ISBN
978-89-93215-05-2
Type
conf
DOI
10.1109/ICCAS.2013.6704143
Filename
6704143
Link To Document