Next Article in Journal
Assessment of the Governance System Regarding Adoption of Energy Efficient Appliances by Households in Nigeria
Next Article in Special Issue
Exploring Soot Particle Concentration and Emissivity by Transient Thermocouples Measurements in Laminar Partially Premixed Coflow Flames
Previous Article in Journal
Improving Electricity Consumption Estimation for Electric Vehicles Based on Sparse GPS Observations
Previous Article in Special Issue
The Influence of Acoustic Field Induced by HRT on Oscillation Behavior of a Single Droplet
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle
Energies 2017, 10(1), 131; doi:10.3390/en10010131

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

1
Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, 111, Ren’ai Road Duzhu Lake Higher Education Town SIP, Suzhou 215123, China
2
Control Research Group, Liverpool John Moores University, Liverpool L3 5UA, UK
3
Suzhou Power Supply Company, Suzhou 215000, China
4
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
5
Biomedical Engineering Centre, Chiang Mai University, Chiang Mai 50200, Thailand
6
Electrical Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand
*
Authors to whom correspondence should be addressed.
Academic Editor: Antonio Ficarella
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)
View Full-Text   |   Download PDF [4421 KB, uploaded 20 January 2017]   |  

Abstract

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)
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top