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Open AccessArticle

A Soft Sensor-Based Fault-Tolerant Control on the Air Fuel Ratio of Spark-Ignition Engines

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Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, 111, Ren’ai Road Duzhu Lake Higher Education Town SIP, Suzhou 215123, China
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Control Research Group, Liverpool John Moores University, Liverpool L3 5UA, UK
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Suzhou Power Supply Company, Suzhou 215000, China
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Centre for Smart Grid and Information Convergence, Xi’an Jiaotong-Liverpool University, 111, Ren’ai Road Dushu Lake Higher Education Town SIP, Suzhou 215123, China
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Biomedical Engineering Centre, Chiang Mai University, Chiang Mai 50200, Thailand
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Electrical Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand
*
Authors to whom correspondence should be addressed.
Academic Editor: Antonio Ficarella
Energies 2017, 10(1), 131; https://doi.org/10.3390/en10010131
Received: 24 September 2016 / Revised: 10 January 2017 / Accepted: 11 January 2017 / Published: 20 January 2017
(This article belongs to the Special Issue Combustion and Propulsion)
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. View Full-Text
Keywords: spark-ignition (SI) engines; nonlinear dynamics; artificial neural networks; fault-tolerant control; air/fuel ratio (AFR) spark-ignition (SI) engines; nonlinear dynamics; artificial neural networks; fault-tolerant control; air/fuel ratio (AFR)
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Zhai, Y.-J.; Yu, D.-L.; Qian, K.-J.; Lee, S.; Theera-Umpon, N. A Soft Sensor-Based Fault-Tolerant Control on the Air Fuel Ratio of Spark-Ignition Engines. Energies 2017, 10, 131.

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