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Model Based Diagnosis of the Intake ManifoldPressure on a Diesel Engine / Modellbaserad laddtrycksdiagnos för en dieselmotor

<p>Stronger environmental awareness as well as actual and future legislations increase</p><p>the demands on diagnosis and supervision of any vehicle with a combustion engine.</p><p>Particularly this concerns heavy duty trucks, where it is common with long driving</p><p>distances and large engines. Model based diagnosis is an often used method in</p><p>these applications, since it does not require any hardware redundancy.</p><p>Undesired changes in the intake manifold pressure can cause increased emissions.</p><p>In this thesis a diagnosis system for supervision of the intake manifold</p><p>pressure is constructed and evaluated. The diagnosis system is based on a Mean</p><p>Value Engine Model (MVEM) of the intake manifold pressure in a diesel engine</p><p>with Exhaust Gas Recirculation (EGR) and Variable Geometry Turbine (VGT).</p><p>The observer-based residual generator is a comparison between the measured intake</p><p>manifold pressure and the observer based estimation of this pressure. The</p><p>generated residual is then post treated in the CUSUM algorithm based diagnosis</p><p>test.</p><p>When constructing the diagnosis system, robustness is an important aspect. To</p><p>achieve a robust system design, four different observer approaches are evaluated.</p><p>The four approaches are extended Kalman filter, high-gain, sliding mode and an</p><p>adaption of the open model. The conclusion of this evaluation is that a sliding</p><p>mode approach is the best alternative to get a robust diagnosis system in this</p><p>application. The CUSUM algorithm in the diagnosis test improves the properties</p><p>of the diagnosis system further.</p>

Identiferoai:union.ndltd.org:UPSALLA/oai:DiVA.org:liu-20852
Date January 2009
CreatorsBergström, Christoffer, Höckerdal, Gunnar
PublisherLinköping University, Vehicular Systems, Linköping University, Vehicular Systems
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, text

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