Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/57288
Title: A soft sensor-based fault-tolerant control on the air fuel ratio of spark-ignition engines
Authors: Yu Jia Zhai
Ding Li Yu
Ke Jun Qian
Sanghyuk Lee
Nipon Theera-Umpon
Keywords: Energy
Engineering
Mathematics
Issue Date: 1-Jan-2017
Abstract: © 2017 by the authors. The air/fuel ratio (AFR) regulation for spark-ignition (SI) engines has been an essential and challenging control problem for engineers in the automotive industry. The feed-forward and feedback scheme has been investigated in both academic research and industrial application. The aging effect can often cause an AFR sensor fault in the feedback loop, and the AFR control performance will degrade consequently. In this research, a new control scheme on AFR with fault-tolerance is proposed by using an artificial neural network model based on fault detection and compensation, which can provide the satisfactory AFR regulation performance at the stoichiometric value for the combustion process, given a certain level of misreading of the AFR sensor.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85022027280&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/57288
ISSN: 19961073
Appears in Collections:CMUL: Journal Articles

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