• DocumentCode
    696379
  • Title

    A performance indices based self-tuning approach to the calibration of the 2DOF structured control loops in SI-engines

  • Author

    Yang, G. ; Jeinsch, T. ; Ding, S.X. ; Weinhold, N. ; Kirchner, C. ; Schultalbers, M.

  • Author_Institution
    Inst. for Autom. Control & Complex Syst., Univ. of Duisburg-Essen, Duisburg, Germany
  • fYear
    2009
  • fDate
    23-26 Aug. 2009
  • Firstpage
    3815
  • Lastpage
    3820
  • Abstract
    The calibration process of today´s spark ignition (SI) engine control systems is a complex and cost-intensive procedure. One reason is that a large number of controller parameters in an Electronic Control Unit (ECU) should be optimized in the calibration process. To cope with increasing demands in control performance issues on the one hand and reduce calibration effort on the other hand, applications of two degree of freedoms (2DOF) control structures are gaining importance in control systems embedded in the SI-engine. In order to further reduce the time and effort needed in calibration, a performance indices based self tuning method for optimization of controller parameters is proposed. This method has been implemented in an ECU for tuning controller parameters in the rail pressure control loop. Results from the validation with test vehicles and on an engine test bench at IAV GmbH are shown.
  • Keywords
    adaptive control; calibration; ignition; internal combustion engines; optimisation; pressure control; self-adjusting systems; 2DOF structured control loops; Electronic Control Unit; SI engines; calibration; performance indices; rail pressure control loop; self tuning method; spark ignition engine control systems; Adaptive control; Calibration; Engines; Feedforward neural networks; Rails; Silicon; Tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2009 European
  • Conference_Location
    Budapest
  • Print_ISBN
    978-3-9524173-9-3
  • Type

    conf

  • Filename
    7074994