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

Author

Listed:
  • Yu-Jia Zhai

    (Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, 111, Ren’ai Road Duzhu Lake Higher Education Town SIP, Suzhou 215123, China)

  • Ding-Li Yu

    (Control Research Group, Liverpool John Moores University, Liverpool L3 5UA, UK)

  • Ke-Jun Qian

    (Suzhou Power Supply Company, Suzhou 215000, China)

  • Sanghyuk Lee

    (Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, 111, Ren’ai Road Duzhu Lake Higher Education Town SIP, Suzhou 215123, China
    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
    Biomedical Engineering Centre, Chiang Mai University, Chiang Mai 50200, Thailand)

  • Nipon Theera-Umpon

    (Biomedical Engineering Centre, Chiang Mai University, Chiang Mai 50200, Thailand
    Electrical Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand)

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.

Suggested Citation

  • Yu-Jia Zhai & Ding-Li Yu & Ke-Jun Qian & Sanghyuk Lee & Nipon Theera-Umpon, 2017. "A Soft Sensor-Based Fault-Tolerant Control on the Air Fuel Ratio of Spark-Ignition Engines," Energies, MDPI, vol. 10(1), pages 1-15, January.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:1:p:131-:d:88332
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    Citations

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    Cited by:

    1. Maria Grazia De Giorgi & Antonio Ficarella, 2017. "Editorial Special Issue “Combustion and Propulsion”," Energies, MDPI, vol. 10(6), pages 1-4, June.
    2. Xiufan Liang & Yiguo Li & Xiao Wu & Jiong Shen, 2018. "Nonlinear Modeling and Inferential Multi-Model Predictive Control of a Pulverizing System in a Coal-Fired Power Plant Based on Moving Horizon Estimation," Energies, MDPI, vol. 11(3), pages 1-27, March.

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