• DocumentCode
    476149
  • Title

    Robust model predictive control of engine idle speed with distrubance observer

  • Author

    Wu, Zhi-Hu ; Liu, Shang ; Pei, Run

  • Author_Institution
    Dept. of Control Sci. & Eng., Harbin Inst. of Technol., Harbin
  • Volume
    4
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    2109
  • Lastpage
    2114
  • Abstract
    In this paper, a linearization engine model at idle speed was developed according to the physical model and engine test map data. Based on this model, an integrated observer and robust model predictive control (MPC) controller design technique was proposed, which can improve the engine idle speed fuel economy, and guarantee that engine speed is not drop too much even when sudden load emerged. The stability and feasibility of MPC controller was also discussed in this paper. A commercial engine model is utilized to assess the performance of the controller. Simulation results on this model show us that the designed MPC controller can achieve desired performance.
  • Keywords
    control system synthesis; engines; fuel economy; observers; predictive control; robust control; velocity control; controller feasibility; controller stability; disturbance observer; engine idle speed control; fuel economy; linearization engine model; robust model predictive controller design; Fuel economy; Internal combustion engines; Machine learning; Manifolds; Mathematical model; Predictive control; Predictive models; Robust control; Vehicle dynamics; Velocity control; Engine Model; Fuel Economy; Idle Speed; Model Predictive Control; Observer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620754
  • Filename
    4620754