• DocumentCode
    2728916
  • Title

    Application of CMAC Neural Network & PID Control on the Speed Control System of Diesel Engine

  • Author

    Guo, Jianghua ; Liang, Shuhai ; Chen, Guojun

  • Author_Institution
    Coll. of Ship & Power, Naval Univ. of Eng., Wuhan
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    2840
  • Lastpage
    2844
  • Abstract
    A new intelligent PID control method based on CMAC neural network (CMAC-NN) is put forward in the paper, then its architecture and arithmetic are introduced specially. Compared with traditional PID control, CMAC-PID control has many more merits. The method is applied to the control system of marine diesel speed. It uses the self-study ability of CMAC-NN and regulates the controller parameters online. The simulation results that indicate the CMAC-PID controller has a higher precision and a stronger compatibility, which can obtain satisfying control effect
  • Keywords
    cerebellar model arithmetic computers; diesel engines; marine vehicles; neurocontrollers; self-adjusting systems; three-term control; velocity control; CMAC neural network; controller parameter regulation; diesel engine; intelligent PID control; marine diesel speed speed control system; Control systems; Diesel engines; Educational institutions; Intelligent control; Marine vehicles; Neural networks; Power engineering and energy; Three-term control; Velocity control; World Wide Web; CMAC; PID; diesel; neural network; speed control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1712883
  • Filename
    1712883
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2728916