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Model Based Diagnosis of the Intake ManifoldPressure on a Diesel Engine
Linköpings universitet, Institutionen för systemteknik, Fordonssystem.
Linköpings universitet, Institutionen för systemteknik, Fordonssystem.
2009 (engelsk)Independent thesis Advanced level (professional degree), 20 poäng / 30 hpOppgaveAlternativ tittel
Modellbaserad laddtrycksdiagnos för en dieselmotor (svensk)
Abstract [en]

Stronger environmental awareness as well as actual and future legislations increase

the demands on diagnosis and supervision of any vehicle with a combustion engine.

Particularly this concerns heavy duty trucks, where it is common with long driving

distances and large engines. Model based diagnosis is an often used method in

these applications, since it does not require any hardware redundancy.

Undesired changes in the intake manifold pressure can cause increased emissions.

In this thesis a diagnosis system for supervision of the intake manifold

pressure is constructed and evaluated. The diagnosis system is based on a Mean

Value Engine Model (MVEM) of the intake manifold pressure in a diesel engine

with Exhaust Gas Recirculation (EGR) and Variable Geometry Turbine (VGT).

The observer-based residual generator is a comparison between the measured intake

manifold pressure and the observer based estimation of this pressure. The

generated residual is then post treated in the CUSUM algorithm based diagnosis

test.

When constructing the diagnosis system, robustness is an important aspect. To

achieve a robust system design, four different observer approaches are evaluated.

The four approaches are extended Kalman filter, high-gain, sliding mode and an

adaption of the open model. The conclusion of this evaluation is that a sliding

mode approach is the best alternative to get a robust diagnosis system in this

application. The CUSUM algorithm in the diagnosis test improves the properties

of the diagnosis system further.

sted, utgiver, år, opplag, sider
2009. , s. 80
Emneord [en]
Model Based Diagnosis, MVEM, Observer, CUSUM
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-20852ISRN: LiTH-ISY-EX–09/4290–SEOAI: oai:DiVA.org:liu-20852DiVA, id: diva2:236573
Presentation
Glashuset, Linköpings Universitet (svensk)
Uppsök
Technology
Veileder
Examiner
Tilgjengelig fra: 2009-09-24 Laget: 2009-09-23 Sist oppdatert: 2009-09-24bibliografisk kontrollert

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