• DocumentCode
    2895587
  • Title

    Fuzzy-PID Control in the Application of Multi-purpose Vehicles of the Road Snow Plowing

  • Author

    Hui, Wang ; Yongbo, Yang ; Meiyu, Liu

  • Author_Institution
    Sch. of Mech. Eng., Jilin Univ., Changchun, China
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    246
  • Lastpage
    250
  • Abstract
    This paper studied a multifunctional snow removal trucks electro-hydraulic proportional valve control system for the cylinder position control. The fuzzy - intelligent PID controller which could improve the operational efficiency of a multifunctional snow removal trucks, compared with conventional PID control, fuzzy control, and other control strategies by demonstration, simulation analysis and pilot studies. It could make up for some system instability which was caused by the conventional PID control, and gave full play of the PID control with the simple, robust, and high reliability advantages applied to the fuzzy control system, fully manifested the double advantage of the fuzzy control and PID control. This paper will represent an advanced Fuzzy - Intelligent PID controller which was applied in snow removal truck´s hydraulic system by PID control and the intelligent combination of fuzzy control. The simulation experiments prove its feasibility.
  • Keywords
    electrohydraulic control equipment; fuzzy control; intelligent control; position control; road vehicles; three-term control; tracked vehicles; valves; cylinder position control; electro-hydraulic proportional valve control system; fuzzy-intelligent PID controller; multi-purpose vehicles; multifunctional snow removal trucks; road snow plowing; Analytical models; Control systems; Fuzzy control; Position control; Proportional control; Road vehicles; Robust control; Snow; Three-term control; Valves; PID control; fuzzy control; fuzzy-PID control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Information Systems and Mining, 2009. WISM 2009. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3817-4
  • Type

    conf

  • DOI
    10.1109/WISM.2009.58
  • Filename
    5368194