• DocumentCode
    2044575
  • Title

    Design of an artificial intelligence controller for effective control of engine speed and pump flow according to working condition of an excavator

  • Author

    Soon-Yong Chun ; Bo Hyeok Seo

  • Author_Institution
    HALLA Eng. & Heavy Inc. Ltd, Chung Choong Buk Do, South Korea
  • Volume
    4
  • fYear
    1993
  • fDate
    19-21 Oct. 1993
  • Firstpage
    361
  • Abstract
    This paper explores advanced controller design concepts by combining the fields of artificial intelligence (AI) and automatic control. To accomplish this, the effective AI controller for the working mode control of excavator is designed. The knowledge bases for the controller are established from the human operator´s experience and basic engineering knowledge and the operating curves of the engine and pump. And a new gain self-tuning algorithm is proposed for closed loop gain control. The excavator with the controller shows to drive more effectively and efficiently in each working mode.<>
  • Keywords
    closed loop systems; excavators; flow control; fuzzy control; hydraulic systems; intelligent control; knowledge based systems; pumps; self-adjusting systems; velocity control; artificial intelligence; automatic control; closed loop gain control; engine speed control; excavator; fuzzy control; gain self-tuning algorithm; intelligent controller; knowledge bases; pump flow control; Artificial intelligence; Control systems; Displacement control; Engine cylinders; Equations; Petroleum; Proportional control; Three-term control; Torque control; Valves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
  • Conference_Location
    Beijing, China
  • Print_ISBN
    0-7803-1233-3
  • Type

    conf

  • DOI
    10.1109/TENCON.1993.320506
  • Filename
    320506