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Design of a Hybrid Fault-Tolerant Control System for Air–Fuel Ratio Control of Internal Combustion Engines Using Genetic Algorithm and Higher-Order Sliding Mode Control

Author

Listed:
  • Turki Alsuwian

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

  • Muhammad Tayyeb

    (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

Fault-tolerant control systems (FTCS) are used in safety and critical applications to improve reliability and availability for sustained operation in fault situations. These systems may be used in process facilities to reduce significant production losses caused by irregular and unplanned equipment tripping. Internal combustion (IC) engines are widely used in the process sector, and efficient air–fuel ratio (AFR) regulation in the fuel system of these engines is critical for increasing engine efficiency, conserving fuel energy, and protecting the environment. In this paper, a hybrid fault-tolerant control system has been proposed, being a combination of two parts which are known as an active fault-tolerant control system and a passive fault-tolerant control system. The active part has been designed by using the genetic algorithm-based fault detection and isolation unit. This genetic algorithm provides estimated values to an engine control unit in case of a fault in any sensor. The passive system is designed by using the higher-order sliding mode control with an extra fuel actuator in the fuel supply line. The performance of the system was tested experimentally in MATLAB/Simulink environment. Based on the simulation results, the designed system can sustain the AFR despite sensor failures. A new method of managing the AFR of an IC engine has been demonstrated in this study, and it is highly capable, robust, reliable, and highly effective. A comparison with the existing works found in the literature also proves its superior performance. By inserting the fault in each sensor, it was clearly observed that proposed HFTCS was much better than the existing model as it was more fault-tolerant due to its ability to work in both online and offline modes. It also provided an exact value of 14.6 of AFR without any degradation.

Suggested Citation

  • Turki Alsuwian & Muhammad Tayyeb & Arslan Ahmed Amin & Muhammad Bilal Qadir & Saleh Almasabi & Mohammed Jalalah, 2022. "Design of a Hybrid Fault-Tolerant Control System for Air–Fuel Ratio Control of Internal Combustion Engines Using Genetic Algorithm and Higher-Order Sliding Mode Control," Energies, MDPI, vol. 15(15), pages 1-23, August.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5666-:d:880435
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    References listed on IDEAS

    as
    1. Luca Romani & Alessandro Bianchini & Giovanni Vichi & Alessandro Bellissima & Giovanni Ferrara, 2018. "Experimental Assessment of a Methodology for the Indirect in-Cylinder Pressure Evaluation in Four-Stroke Internal Combustion Engines," Energies, MDPI, vol. 11(8), pages 1-20, July.
    2. J. Lauber & T.M. Guerra & M. Dambrine, 2011. "Air-fuel ratio control in a gasoline engine," International Journal of Systems Science, Taylor & Francis Journals, vol. 42(2), pages 277-286.
    3. R. Kavikumar & R. Sakthivel & O. M. Kwon & B. Kaviarasan, 2020. "Faulty actuator-based control synthesis for interval type-2 fuzzy systems via memory state feedback approach," International Journal of Systems Science, Taylor & Francis Journals, vol. 51(15), pages 2958-2981, November.
    4. Mounir Djouima & Ahmad Taher Azar & Saïd Drid & Driss Mehdi, 2018. "Higher Order Sliding Mode Control for Blood Glucose Regulation of Type 1 Diabetic Patients," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 7(1), pages 65-84, January.
    5. Hui Pang & Xue Liu & Yuting Shang & Rui Yao, 2020. "A Hybrid Fault-Tolerant Control for Nonlinear Active Suspension Systems Subjected to Actuator Faults and Road Disturbances," Complexity, Hindawi, vol. 2020, pages 1-14, January.
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