IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i19p7010-d923914.html
   My bibliography  Save this article

Hybrid Fault-Tolerant Control for Air-Fuel Ratio Control System of Internal Combustion Engine Using Fuzzy Logic and Super-Twisting Sliding Mode Control Techniques

Author

Listed:
  • Turki Alsuwian

    (Department of Electrical Engineering, College of Engineering, Najran University, Najran 11001, Saudi Arabia)

  • Umar Riaz

    (Department of Electrical Engineering, FAST National University of Computer and Emerging Sciences, Chiniot Faisalabad Campus, Chiniot 35400, Pakistan)

  • Arslan Ahmed Amin

    (Department of Electrical Engineering, FAST National University of Computer and Emerging Sciences, Chiniot Faisalabad Campus, Chiniot 35400, Pakistan)

  • Muhammad Bilal Qadir

    (School of Engineering & Technology, National Textile University, Faisalabad 37610, Pakistan)

  • Saleh Almasabi

    (Department of Electrical Engineering, College of Engineering, Najran University, Najran 11001, Saudi Arabia)

  • Mohammed Jalalah

    (Department of Electrical Engineering, College of Engineering, Najran University, Najran 11001, Saudi Arabia
    Promising Centre for Sensors and Electronic Devices (PCSED), Advanced Materials and Nano-Research Centre, Najran University, Najran 11001, Saudi Arabia)

Abstract

Safety and critical applications employ fault-tolerant control systems (FTCS) to increase reliability and availability in the event of a failure of critical components. Process facilities may employ these technologies to cut down on production losses caused by equipment failures that occur on an irregular or unscheduled basis. Air–fuel ratio (AFR) adjustment in the fuel system of internal combustion engines (ICE) is crucial for enhancing engine efficiency, saving fuel energy, and safeguarding the environment. This paper proposes a novel hybrid fault-tolerant control system (HFTCS) for controlling the AFR in ICEs that combines the features of both an active fault-tolerant control system (AFTCS) and a passive fault-tolerant control system (PFTCS). The fault detection and isolation (FDI) unit is designed using fuzzy logic (FL) as part of an AFTCS to give estimated sensor values to the engine controller when the sensor becomes faulty. Super-twisting sliding mode control (ST-SMC) is implemented as part of a PFTCS to maintain AFR by adjusting the throttle actuator in the fuel supply line under faulty conditions. Lyapunov stability analysis is also performed to make sure that the system remains stable in both normal and faulty conditions. According to the results in the Matlab/Simulink environment, the suggested system stays robust and stable during sensor faults. In faulty situations, it also maintains the AFR at 14.6 without any degradation, and a comparison with previous studies is carried out. The study shows that the suggested approach is an innovative and highly dependable solution for AFR control in ICEs, preventing engine shutdown and output loss for higher profitability.

Suggested Citation

  • Turki Alsuwian & Umar Riaz & Arslan Ahmed Amin & Muhammad Bilal Qadir & Saleh Almasabi & Mohammed Jalalah, 2022. "Hybrid Fault-Tolerant Control for Air-Fuel Ratio Control System of Internal Combustion Engine Using Fuzzy Logic and Super-Twisting Sliding Mode Control Techniques," Energies, MDPI, vol. 15(19), pages 1-27, September.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:7010-:d:923914
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/19/7010/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/19/7010/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kim, Joonsuk & Chun, Kwang Min & Song, Soonho & Baek, Hong-Kil & Lee, Seung Woo, 2018. "Hydrogen effects on the combustion stability, performance and emissions of a turbo gasoline direct injection engine in various air/fuel ratios," Applied Energy, Elsevier, vol. 228(C), pages 1353-1361.
    2. Lei Meng & Xiaofeng Wang & Chunnian Zeng & Jie Luo, 2019. "Adaptive Air-Fuel Ratio Regulation for Port-Injected Spark-Ignited Engines Based on a Generalized Predictive Control Method," Energies, MDPI, vol. 12(1), pages 1-19, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Zhiguo & Zhao, Dan & Ni, Siliang & Sun, Yuze & Wang, Bing & Chen, Yong & Li, Guoneng & Li, S., 2019. "Experimental characterizing combustion emissions and thermodynamic properties of a thermoacoustic swirl combustor," Applied Energy, Elsevier, vol. 235(C), pages 463-472.
    2. Gong, Changming & Yi, Lin & Zhang, Zilei & Sun, Jingzhen & Liu, Fenghua, 2020. "Assessment of ultra-lean burn characteristics for a stratified-charge direct-injection spark-ignition methanol engine under different high compression ratios," Applied Energy, Elsevier, vol. 261(C).
    3. Yuce, Bahadir Erman & Oral, Faruk, 2024. "Multi objective optimization of emission and performance characteristics in a spark ignition engine with a novel hydrogen generator," Energy, Elsevier, vol. 289(C).
    4. Gong, Changming & Li, Dong & Liu, Jiajun & Liu, Fenghua, 2024. "Computational study of excess air ratio impacts on performances of a spark-ignition H2/methanol dual-injection engine," Energy, Elsevier, vol. 289(C).
    5. Pandey, Jayashish Kumar & Kumar, G.N., 2022. "Effects of hydrogen assisted combustion of EBNOL IN SI engines under variable compression ratio and ignition timing," Energy, Elsevier, vol. 246(C).
    6. Yuji Ikeda & Nobuyuki Kawahara, 2022. "Measurement of Cyclic Variation of the Air-to-Fuel Ratio of Exhaust Gas in an SI Engine by Laser-Induced Breakdown Spectroscopy," Energies, MDPI, vol. 15(9), pages 1-14, April.
    7. Chen, Zheng & Ai, Yaquan & Qin, Tao & Luo, Feng, 2019. "Quantitative evaluation of n-butane concentration on knock severity of a natural gas heavy-duty SI engine," Energy, Elsevier, vol. 189(C).
    8. Roso, Vinícius Rückert & Santos, Nathália Duarte Souza Alvarenga & Valle, Ramon Molina & Alvarez, Carlos Eduardo Castilla & Monsalve-Serrano, Javier & García, Antonio, 2019. "Evaluation of a stratified prechamber ignition concept for vehicular applications in real world and standardized driving cycles," Applied Energy, Elsevier, vol. 254(C).
    9. Huang, Lijuan & Wang, Yu & Li, Zongfa & Zhang, Liang & Yin, Yuchuan & Chen, Chao & Ren, Shaoran, 2021. "Experimental study on piloted ignition temperature and auto ignition temperature of heavy oils at high pressure," Energy, Elsevier, vol. 229(C).
    10. Lei Meng & Jie Luo & Xu Yang & Chunnian Zeng, 2019. "Intake Air Mass Observer Design Based on Extended Kalman Filter for Air-Fuel Ratio Control on SI Engine," Energies, MDPI, vol. 12(18), pages 1-12, September.
    11. Lei Zhou & Xiaojun Zhang & Lijia Zhong & Jie Yu, 2020. "Effects of Flame Propagation Velocity and Turbulence Intensity on End-Gas Auto-Ignition in a Spark Ignition Gasoline Engine," Energies, MDPI, vol. 13(19), pages 1-23, September.
    12. Gong, Changming & Li, Zhaohui & Sun, Jingzhen & Liu, Fenghua, 2020. "Evaluation on combustion and lean-burn limitof a medium compression ratio hydrogen/methanol dual-injection spark-ignition engine under methanol late-injection," Applied Energy, Elsevier, vol. 277(C).
    13. Pandey, Jayashish Kumar & Kumar, G.N., 2022. "Effect of variable compression ratio and equivalence ratio on performance, combustion and emission of hydrogen port injection SI engine," Energy, Elsevier, vol. 239(PE).
    14. Sharma, Priybrat & Dhar, Atul, 2019. "Effect of hydrogen fumigation on combustion stability and unregulated emissions in a diesel fuelled compression ignition engine," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    15. Akram, M. Zuhaib, 2021. "Study of hydrogen impact on lean flammability limit and burning characteristics of a kerosene surrogate," Energy, Elsevier, vol. 231(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:7010-:d:923914. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.