A soft sensor-based fault-tolerant control on the air fuel ratio of spark-ignition engines
© 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....
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th-cmuir.6653943832-572882018-09-05T03:45:41Z A soft sensor-based fault-tolerant control on the air fuel ratio of spark-ignition engines Yu Jia Zhai Ding Li Yu Ke Jun Qian Sanghyuk Lee Nipon Theera-Umpon Energy Engineering Mathematics © 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. 2018-09-05T03:37:49Z 2018-09-05T03:37:49Z 2017-01-01 Journal 19961073 2-s2.0-85022027280 10.3390/en10010131 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85022027280&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/57288 |
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Chiang Mai University |
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Chiang Mai University Library |
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CMU Intellectual Repository |
| topic |
Energy Engineering Mathematics |
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Energy Engineering Mathematics Yu Jia Zhai Ding Li Yu Ke Jun Qian Sanghyuk Lee Nipon Theera-Umpon A soft sensor-based fault-tolerant control on the air fuel ratio of spark-ignition engines |
| description |
© 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. |
| format |
Journal |
| author |
Yu Jia Zhai Ding Li Yu Ke Jun Qian Sanghyuk Lee Nipon Theera-Umpon |
| author_facet |
Yu Jia Zhai Ding Li Yu Ke Jun Qian Sanghyuk Lee Nipon Theera-Umpon |
| author_sort |
Yu Jia Zhai |
| title |
A soft sensor-based fault-tolerant control on the air fuel ratio of spark-ignition engines |
| title_short |
A soft sensor-based fault-tolerant control on the air fuel ratio of spark-ignition engines |
| title_full |
A soft sensor-based fault-tolerant control on the air fuel ratio of spark-ignition engines |
| title_fullStr |
A soft sensor-based fault-tolerant control on the air fuel ratio of spark-ignition engines |
| title_full_unstemmed |
A soft sensor-based fault-tolerant control on the air fuel ratio of spark-ignition engines |
| title_sort |
soft sensor-based fault-tolerant control on the air fuel ratio of spark-ignition engines |
| publishDate |
2018 |
| url |
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85022027280&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/57288 |
| _version_ |
1681424850944524288 |