Feedback error learning control using OS-ELM for SI engine airpath systems

Dongyang Wang, Yuhki Hashimoto, Hiromitsu Ohmori

研究成果: Conference article査読

抄録

Currently, due to the stricter emission legislation, spark-ignition (SI) engine with low pressure exhaust gas recirculation (LP-EGR) has become a research hotspot. However, with the increasing complexity of engine, it is difficult to obtain sufficient control performance by conventional MAP control or PID control. This paper focuses on the airpath system of a SI engine with low pressure EGR, proposes a new model-based control method for the model of the airpath system based on the Feedback Error Learning control using online sequential-extreme learning machine (OS-ELM) as controller algorithm. In this paper, the airpath model has been built and effectiveness of the proposed control method has been confirmed on the model.

本文言語English
ページ(範囲)182-188
ページ数7
ジャーナルIFAC-PapersOnLine
54
10
DOI
出版ステータスPublished - 2021
イベント6th IFAC Conference on Engine Powertrain Control, Simulation and Modeling E-COSM 2021 - Tokyo, Japan
継続期間: 2021 8月 232021 8月 25

ASJC Scopus subject areas

  • 制御およびシステム工学

フィンガープリント

「Feedback error learning control using OS-ELM for SI engine airpath systems」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル