• DocumentCode
    3441620
  • Title

    Approach control of an electromechanical valve actuator using closed-loop iterative learning control

  • Author

    Samadi, M.F. ; Saif, M.

  • Author_Institution
    Sch. of Eng. Sci., Simon Fraser Univ., Burnaby, BC, Canada
  • fYear
    2011
  • fDate
    12-15 Dec. 2011
  • Firstpage
    5365
  • Lastpage
    5370
  • Abstract
    Electromechanical valves (EMV) are a promising alternative to camshafts in internal combustion (IC) engines. This paper is mainly concerned with the control of EMVs to achieve a soft landing. Due to the nature of the process, control of the valve is normally accomplished in two phase. This paper addresses the control problem over the first phase, namely “the approach control”, where the control authority over the system is very low. Repetitiveness of the process and low control authority suggest iterative learning control (ILC) as an appealing solution. An ILC law that exploits the benefits of both feedforward and feedback approaches is proposed for this problem. Also, an iterative method for characterization and generation of the desired trajectory is provided. The effectiveness of the proposed approach controller is demonstrated through simulation studies.
  • Keywords
    closed loop systems; electromechanical actuators; feedback; feedforward; internal combustion engines; iterative methods; learning systems; trajectory control; valves; EMV control; ILC law; approach control; camshafts; closed-loop iterative learning control; control authority; electromechanical valve actuator; feedback approach; feedforward approach; internal combustion engine; process repetitiveness; soft landing; trajectory generation; valve control; valve process; Actuators; Coils; Engines; Feedforward neural networks; Spline; Trajectory; Valves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-61284-800-6
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2011.6161223
  • Filename
    6161223