• 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