Feedback Error Learning Control for Airpath System by Using Oxygen Concentration Adaptive Observer

Yuhki Hashimoto; Hiromitsu Ohmori

Feedback Error Learning Control for Airpath System by Using Oxygen Concentration Adaptive Observer

システムデザイン工学科

研究成果: Paper › 査読

抄録

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.

本文言語	English
ページ	399-407
ページ数	9
出版ステータス	Published - 2022 7月 5
イベント	10th International Conference on Modeling and Diagnostics for Advanced Engine Systems, COMODIA 2022 - Sapporo, Japan 継続期間: 2022 7月 5 → 2022 7月 8

Conference

Conference	10th International Conference on Modeling and Diagnostics for Advanced Engine Systems, COMODIA 2022
国/地域	Japan
City	Sapporo
Period	22/7/5 → 22/7/8

ASJC Scopus subject areas

モデリングとシミュレーション
制御およびシステム工学

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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.",

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AU - Ohmori, Hiromitsu

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N2 - 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.

AB - 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.

KW - Adaptive observer

KW - Feedback error learning

KW - LP-EGR

KW - OS-ELM

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M3 - Paper

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T2 - 10th International Conference on Modeling and Diagnostics for Advanced Engine Systems, COMODIA 2022

Y2 - 5 July 2022 through 8 July 2022

ER -

Feedback Error Learning Control for Airpath System by Using Oxygen Concentration Adaptive Observer

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Conference

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