• DocumentCode
    1845757
  • Title

    Intelligent control of nonlinear hysteretic electronic throttle using brushless dc motor (ET-BLDC)

  • Author

    Wang, Chi-Hsu ; Huang, De-Yu

  • Author_Institution
    Dept. of Electr. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • fYear
    2010
  • fDate
    7-10 Nov. 2010
  • Firstpage
    156
  • Lastpage
    161
  • Abstract
    An electronic throttle is a nonlinear hysteretic brushless-dc-motor-driven valve that regulates air inflow into the combustion system of the engine. The throttle control system should ensure fast and accurate reference tracking of the valve plate angle while preventing excessive wear of the throttle components by constraining physical variables to their normal-operation domains. These high-quality control demands are hard to accomplish since the plant is burdened with strong nonlinear hysteretic effects of friction, spring and limp-home nonlinearity. In this paper, both the theoretical and practical implementation issues are solved using fuzzy logic approach and the controller synthesis is performed in real time environment using dSpace MicroAutobox (MABX) and advanced microcontroller development board to yield excellent tracking results.
  • Keywords
    DC motor drives; brushless DC motors; combustion; control system synthesis; fuzzy logic; intelligent control; machine control; nonlinear control systems; MABX; air inflow regulation; brushless dc motor; combustion system; dSpace MicroAutobox; engine; fuzzy logic; intelligent control; nonlinear hysteretic effects; nonlinear hysteretic electronic throttle; real time environment; reference tracking; throttle control; valve plate angle; Closed loop systems; Driver circuits; Fuzzy logic; Hysteresis; Real time systems; System identification; Valves; BLDC; Fuzzy Logic Set; Hsyteresis; Intelligent Control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Glendale, AZ
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-5225-5
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2010.5675182
  • Filename
    5675182