• DocumentCode
    2380664
  • Title

    Model-based predictive control of an Electro-Pneumatic exhaust valve for Internal Combustion engines

  • Author

    Ma, Jia ; Zhu, Guoming ; Hartsig, Andrew ; Schock, Harold

  • Author_Institution
    Delphi Corp., Michigan State Univ., East Lansing, MI
  • fYear
    2008
  • fDate
    11-13 June 2008
  • Firstpage
    298
  • Lastpage
    305
  • Abstract
    Variable valve actuation of internal combustion (IC) engines is capable of significantly improving their performance. Variable valve actuation can be divided into two main categories: variable valve timing with cam shaft(s) and camless valve actuation. For camless valve actuation, research has been centered in electro-magnetic, electro-hydraulic, and electro-pneumatic valve actuators. This research studies the control of the electro-pneumatic valve actuator. The modeling and control of intake valves for the Electro-Pneumatic Valve Actuators (EPVA) was shown in early publications and this paper extends the EPVA modeling and control development to exhaust valves for both valve timing and lift control. The control strategy developed utilizes model-based predictive techniques to overcome the randomly variable in-cylinder pressure against which the exhaust valve opens.
  • Keywords
    electropneumatic control equipment; internal combustion engines; predictive control; shafts; valves; variable structure systems; cam shaft; camless valve actuation; electro-hydraulic valve actuators; electro-magnetic valve actuators; electro-pneumatic exhaust valve; internal combustion engines; lift control; model-based predictive control; variable valve actuation; variable valve timing; Actuators; Electric variables control; Internal combustion engines; Mechanical variables control; Open loop systems; Predictive control; Predictive models; Pressure control; Timing; Valves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2008
  • Conference_Location
    Seattle, WA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-2078-0
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2008.4586507
  • Filename
    4586507