• DocumentCode
    2636020
  • Title

    Misfire fault detection in SI engine using sliding mode observer

  • Author

    Rizvi, M.A. ; Zaidi, Syed Sajjad Haider ; Akram, M. Amin ; Bhatti, Aamer I.

  • Author_Institution
    Electron. Eng. Dept., Mohammad Ali Jinnah Univ., Islamabad, Pakistan
  • fYear
    2012
  • fDate
    25-28 Oct. 2012
  • Firstpage
    5114
  • Lastpage
    5119
  • Abstract
    The novelty of work is the application of first order sliding mode techniques for hybrid model to estimate the system states which are finally analyzed to detect of Misfire fault. The output of hybrid model of SI engine (engine speed) is compared with the observed engine speed to generate the output error. The sliding mode observer is designed to track the engine speed and estimate the other system state i.e. acceleration. The crankshaft acceleration is analyzed to detect the engine misfire fault condition. The stability analysis of application of first order sliding mode for hybrid model is provided. The results of tracking of speed and estimation of acceleration using sliding mode observer are presented. The application of Sliding Mode Technique for hybrid model is first established using data generated by simulating engine model and then using experimental data taken from SI engine.
  • Keywords
    acceleration; control system synthesis; engines; fault diagnosis; fires; ignition; observers; shafts; stability; state estimation; tracking; variable structure systems; SI engine; crankshaft acceleration estimation; engine misfire fault condition detection; engine model; engine speed tracking; first order sliding mode techniques; hybrid model; output error; sliding mode observer; spark ignition engines; system state estimation; Acceleration; Engines; Silicon; Fault Diagnosis; Hybrid Systems; Misfire Detection; SI Engine; Sliding Mode Observer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Montreal, QC
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4673-2419-9
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2012.6388978
  • Filename
    6388978