Robust Strategy for Intake Leakage Detection in Diesel Engines

Riccardo Ceccarelli 1, 2 Philippe Moulin 2 Carlos Canudas de Wit 1
1 NECS - Networked Controlled Systems
Inria Grenoble - Rhône-Alpes, GIPSA-DA - Département Automatique
Abstract : Fault detection is motivated by the needs of guaranteeing high-performance engine behavior and regarding to the environmentally-based legislative regulations. An adaptive model based observer strategy is applied for the fault detection and estimation. The hole estimation relies on the model accuracy and sensors precision. In this paper is provided by a model-based upper bound for leakage error estimation for threshold design by the mean of the observer sensitivity study. The proposed approach generates a threshold based only on the available measures even if faulty. Simulation results are provided using advanced Diesel engine developed under AMEsim.
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Communication dans un congrès
IEEE. IEEE Application Control Conference, MSC, Jul 2009, Saint Petersbourg, Russia. pp.s/n, 2009
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Dernière modification le : mardi 15 mai 2018 - 14:50:03
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Riccardo Ceccarelli, Philippe Moulin, Carlos Canudas de Wit. Robust Strategy for Intake Leakage Detection in Diesel Engines. IEEE. IEEE Application Control Conference, MSC, Jul 2009, Saint Petersbourg, Russia. pp.s/n, 2009. 〈hal-00394983〉

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