Sliding Mode Observers to Detect and Isolate Faults in a Turbocharged Gasoline Engine

Salehi, R ; Sharif University of Technology | 2015

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  1. Type of Document: Article
  2. DOI: 10.4271/2015-01-0227
  3. Publisher: SAE International , 2015
  4. Abstract:
  5. This paper presents a novel model-based algorithm which is able to detect and isolate major faults assigned to the gas exchange path of a gasoline engine both in the intake and exhaust sides. The diagnostics system is developed for detection and isolation of these faults: air leakage fault between the compressor and the air throttle, exhaust manifold pressure sensor fault, wastegate stuck-closed fault and wastegate stuck-open fault. Sliding mode observers (SMOs) are the core detection algorithms utilized in this work. A first order SMO is designed to estimate the turbocharger rotational dynamics. The wastegate displacement dynamics coupled to the exhaust manifold pressure dynamics is estimated using a second order SMO. Verified with experimental data from a modern TC gasoline engine running in a test cell, the two sliding mode observers are then used in a strategy to detect the faults in the gas exchange path. The proposed diagnostics system shows successful results in isolation of the four faults for gasoline engines without requiring a hot-film air-flow meter (HFM)
  6. Keywords:
  7. Air engines ; Algorithms ; Automobile engine manifolds ; Dynamics ; Engines ; Exhaust manifolds ; Fault detection ; Sliding mode control ; Detection algorithm ; Displacement dynamics ; Intake and exhaust ; Model-based algorithms ; Pressure dynamics ; Rotational dynamics ; Sliding mode observers ; Turbocharged gasoline engines ; Gasoline
  8. Source: SAE International Journal of Engines ; Volume 8, Issue 2 , April , 2015 , Pages 399-410 ; 19463936 (ISSN)
  9. URL: http://papers.sae.org/2015-01-0227