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Model-based analysis of sensor faults in SI engine

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The article focuses on the fault not diagnosed by the OBD system. Apart from mechanical damages sensor faults are a serious group. Although the sensor values are constantly monitored, some errors are not detected. The article presents a diagnostic model of the air intake system of SI engine, which generates the control and work parameters of the engine for fault-free state. The parameters obtained from the reference model can be compared with the parameters measured for the engine in any operating condition. Based on the model the impact of sensor faults for other parameters was analyzed. Some errors can be masked by the adaptive control system of the engine, which changes the parameters of the engine control. Simulation tests were verified on the test bench.
Czasopismo
Rocznik
Strony
146--151
Opis fizyczny
Bibliogr. 20 poz., wykr.
Twórcy
autor
  • Faculty of Mechanical Engineering at University of Technology and Humanities in Radom
  • Faculty of Mechanical Engineering at University of Technology and Humanities in Radom
autor
  • Faculty of Mechanical Engineering at University of Technology and Humanities in Radom
Bibliografia
  • [1] AHMED, Q., BHATTI, AI., KHAN, Q., RAZA, M. Condition monitoring of gasoline engine air intake system using second order sliding modes. International Journal of Vehicle Design. 2013, 62(2-4), 312-332.
  • [2] DĄBROWSKI, Z., MADEJ, H. Masking mechanical damages in the modern control systems of combustion engines. Journal of Kones Powertrain and Transport. 2006, 13(3), 53-60.
  • [3] DĄBROWSKI, Z., ZAWISZA, M. Investigations of the vibroacoustic signals sensitivity to mechanical defects not recognised by the OBD system in diesel engines. Mechatronic Systems, Mechanics and Materials. Solid State Phenomena. 2012, 180, 194-199.
  • [4] DUTKA, A., JAVAHERIAN, H., GRIMBLE, M. Modelbased engine fault detection and isolation. Proceedings of American Control Conference. ACC '09. 2009, 4593-4600.
  • [5] FIGLUS, T., KONIECZNY, Ł., BURDZIK, R., CZECH, P. Assessment of diagnostic usefulness of vibration of the common rail system in the diesel engine. Vibroengineering PROCEEDIA. 2015, 6, 185‑189.
  • [6] FRANCHEK, M.A., BUEHLER, P.J., MAKKI, I. Intake air path diagnostics for internal combustion engines. Journal of Dynamic Systems, Measurement and Control. 2007, 129(1), 32-40.
  • [7] GUZZELLA, L., ONDER, C. Introduction to modeling and control of internal combustion engine systems. Springer, ETH Zurich 2004.
  • [8] HERNER, A., RIEHL, H.J. Elektrotechnika i elektronika w pojazdach samochodowych. WKiŁ, Warszawa 2013.
  • [9] HEYWOOD, J.B. Internal Combustion Engine Fundamentals. Mc-Graw Hill, New York 1988.
  • [10] ISERMANN, R. Model-based fault-detection and diagnosis – status and applications. Annual Reviews in Control. 2005, 29, 71-85.
  • [11] JONGENEEL,J., NIJMEIJER, H., MANZIE, C., NESIC, D. Input redundant internal combustion engine with linear quadratic Gaussian control and dynamic control allocation. Internal Report. Eindhoven University of Technology, Eindhoven, Netherlands 2009.
  • [12] KIENCKE, U., NIELSEN, L. Automotive control systems. For engine, driveline, and vehicle. Springer-Verlag, Berlin Heidelberg 2005.
  • [13] KOMORSKA, I., PUCHALSKI, A. On-board diagnostics of mechanical defects of the vehicle drive system based on the vibration signal reference model. Journal of Vibroengineering. 2013, 15(1), 450-458.
  • [14] MERKISZ, J., MAZUREK S. Pokładowe systemy diagnostyczne pojazdów samochodowych. WKiŁ, Warszawa 2006.
  • [15] MERKISZ, J., PIELECHA, J., RADZIMIRSKI, S. New trends in emission control in the European Union. Springer 2014.
  • [16] NYBERG, M., NIELSEN, L. Model based diagnosis for the air intake system of the SI-engine. SAE Technical Paper. 1997, 970209.
  • [17] NYBERG, M. Model-based diagnosis of an automotive engine using several types of fault models. IEEE Transactions on Control Systems Technology. 2002, 10(5), 679-689.
  • [18] PUCHALSKI, A., KOMORSKA I. Online fault diagnosis of automotive powernets by kalman filtering. Key Engineering Materials. 2014, 588, 209-213.
  • [19] WENZEL. T.A., BURNHAM, K.J., BLUNDELL, M.V. Kalman filter as a virtual sensor: applied to automotive stability systems. Transactions of the Institute of Measurement and Control. 2007, 29(2), 95-115.
  • [20] WOŁCZYŃSKI, Z., KOMORSKA, I., BORCZUCH A. Wpływ uszkodzeń w układzie dolotowym powietrza na sterowanie silnikiem spalinowym. Autobusy – Technika, Eksploatacja, Systemy transportowe. 2016, 17(12), 1487-1490.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-649d5449-3e04-4b52-8add-a2d56584ebab
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