• DocumentCode
    605197
  • Title

    PID Controller for Idle Speed Control

  • Author

    Kamaruddin, T.N.A.T. ; Darus, I.Z.M.

  • Author_Institution
    Dept. of Mech. Eng., Int. Islamic Univ. Malaysia, Kuala Lumpur, Malaysia
  • fYear
    2013
  • fDate
    10-12 April 2013
  • Firstpage
    247
  • Lastpage
    253
  • Abstract
    The performance comparison of PID controllers for idle speed control internal combustion engine (ICE) is presented in this paper. There are three methods of PID tuning applied: heuristic tuning, self-tuning by pole placement, and also iterative learning algorithm (ILA). Prior to that, data collection is gained from four cylinder sparkignition engine modeling and used as the input-output data in the system identification part. The obtained transfer function from RLS technique is used in the development of the control system for the idle speed control by PID controllers. The main objective of the idle speed control is to maintain the idling speed at 650rpm and to reject as quickly as possible the extra load exerted on the engine system during idling mode. Comparing the three methods, it shows that PID tuning by ILA produced better results than heuristic tuning and pole placement.
  • Keywords
    adaptive control; internal combustion engines; iterative methods; learning systems; least squares approximations; pole assignment; self-adjusting systems; spark plugs; three-term control; transfer functions; velocity control; ICE; ILA; PID controller; PID tuning; RLS technique; cylinder spark ignition engine modeling; data collection; engine system; heuristic tuning; idle speed control internal combustion engine; idling mode; idling speed; input-output data; iterative learning algorithm; pole placement; self-tuning; system identification; transfer function; PID controller; heuristic tuning; idle speed control; iterative learning algorithm; pole placement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modelling and Simulation (UKSim), 2013 UKSim 15th International Conference on
  • Conference_Location
    Cambridge
  • Print_ISBN
    978-1-4673-6421-8
  • Type

    conf

  • DOI
    10.1109/UKSim.2013.138
  • Filename
    6527423