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Evaluation of Observers for Fault Diagnosis on an Automotive Engine

Fault diagnosis is an important area in automotive applications. A diagnosis system is taken forth using the method of structured hypothesis tests. The test quantities used in the hypothesis tests are calculated from prediction error from fault models. A parameter in each model is estimated using a state space observer, where the parameter is viewed upon as an extra state with zero time derivative. Two observer design methods are compared: linearisation of the system in combination with pole placement and an observer with feedback gain only on the fault parameter state. Simulations based on real data from an automotive diesel engine indicates that the method of linearisation in combination with pole placement gives the better diagnosis system of the two tested approaches. However, the method of feedback gain only on the fault parameter is less complex and easier to implement.

Niten Olofsson


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Last updated: 2021-11-10