• DocumentCode
    2008605
  • Title

    Neuron Based Control of Main Engine Cooling Water Temperature

  • Author

    Xu, Xiaoyan ; He, Min ; Zheng, Huayao

  • Author_Institution
    Shanghai Maritime Univ., Shanghai
  • fYear
    2007
  • fDate
    May 30 2007-June 1 2007
  • Firstpage
    2293
  • Lastpage
    2296
  • Abstract
    Firstly, a mathematical model of main engine cooling water temperature regulation system is established according to the working principle of the high temperature fresh water cooling system. Secondly, the aforementioned system is chosen as the research object and a neuron-based adaptive control system is applied to regulate the temperature of cooling water. According to the algorithm of the control system, the neuron makes self-organizing through modification of its weighted values, and the weighted values are determined through correlative search. Additionally, a smoothing factor is applied during the modification of the weighted values, which makes the procedure of the weighted value modification more smoothly. The experimental results show that the dynamic property of the cooling water temperature regulation process is good and the neuron-based adaptive control system is suitable for control of main engine cooling water temperature.
  • Keywords
    adaptive control; cooling; engines; neurocontrollers; regulation; self-adjusting systems; ships; temperature control; water; high temperature fresh water cooling system; marine main engine cooling water temperature regulation system; mathematical model; neuron-based adaptive control system; self-organizing; ship; smoothing factor; Adaptive control; Automatic control; Control systems; Cooling; Engine cylinders; Heat engines; Neurons; Ocean temperature; Temperature control; Water; adaptive control; cooling water temperature regulation; dynamic propertics; mathematical model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation, 2007. ICCA 2007. IEEE International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4244-0818-4
  • Electronic_ISBN
    978-1-4244-0818-4
  • Type

    conf

  • DOI
    10.1109/ICCA.2007.4376770
  • Filename
    4376770