| Autor: |
Ahmed Soliman, Piero Azzoni, D. Moro, Y.W. Kim, Giorgio Rizzoni |
| Rok vydání: |
1997 |
| Předmět: |
|
| Zdroj: |
IFAC Proceedings Volumes. 30:821-826 |
| ISSN: |
1474-6670 |
| DOI: |
10.1016/s1474-6670(17)42501-8 |
| Popis: |
A model based fault detection and identification (FDI) algorithm for an internal combustion engine is proposed. A low frequency dynamic engine model is developed for the model-based FDI application and this model considers the air and the fuel dynamics of an IC engine including the effect of the exhaust gas re-circulation (EGR). Nonlinear sliding mode observers are used to estimate the outputs and inputs of the air and fuel dynamics subsystems, using the measurement obtained from production sensors, including a switching oxygen sensor. The observers are emmbedded in a nonlinear parity equation generation (NPERG) algorithm for fault detection and isolation. Experimental results demonstrate the promising performance of the designed observers and the effectiveness of monitoring scheme in isolating both actuator and sensor faults. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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