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

Zhai, YJ, Yu, DL, Qian, KJ, Lee, S and Theera-Umpon, N (2017) A Soft Sensor-Based Fault-Tolerant Control on the Air Fuel Ratio of Spark-Ignition Engines. Energies, 10 (1). ISSN 1996-1073

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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.

Item Type: Article
Uncontrolled Keywords: 09 Engineering, 02 Physical Sciences
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering
Divisions: Electronics & Electrical Engineering (merged with Engineering 10 Aug 20)
Publisher: MDPI AG
Related URLs:
Date Deposited: 09 Oct 2017 11:23
Last Modified: 04 Sep 2021 03:46
DOI or ID number: 10.3390/en10010131
URI: https://researchonline.ljmu.ac.uk/id/eprint/7303
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