Abstract
To deal with stringent exhaust emission regulations, an exhaust gas recirculation (EGR) system is widely used in internal combustion engines. However, appropriate control of EGR is difficult because of the gas transport delay and unavailability of the EGR rate. In this paper, a model-based control approach for engine airpath systems is proposed. A physical model of engine airpath considering the transport delay in EGR is constructed. An adaptive observer is introduced to estimate the EGR rate by using available quantities. Feedback error learning control is applied to the airpath system to deal with a characteristic change of the controlled plant. We validate the proposed method by numerical simulations.
Original language | English |
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Pages | 399-407 |
Number of pages | 9 |
Publication status | Published - 2022 Jul 5 |
Event | 10th International Conference on Modeling and Diagnostics for Advanced Engine Systems, COMODIA 2022 - Sapporo, Japan Duration: 2022 Jul 5 → 2022 Jul 8 |
Conference
Conference | 10th International Conference on Modeling and Diagnostics for Advanced Engine Systems, COMODIA 2022 |
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Country/Territory | Japan |
City | Sapporo |
Period | 22/7/5 → 22/7/8 |
Keywords
- Adaptive observer
- Feedback error learning
- LP-EGR
- OS-ELM
ASJC Scopus subject areas
- Modelling and Simulation
- Control and Systems Engineering