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A Fractional Order Controller for Sensorless Speed Control of an Induction Motor

Author

Listed:
  • Tayyaba Nosheen

    (Department of Electrical Engineering, University of Engineering and Technology, Taxila 47070, Pakistan
    Department of Electrical Engineering, Riphah International University, Islamabad 45210, Pakistan)

  • Ahsan Ali

    (Department of Electrical Engineering, University of Engineering and Technology, Taxila 47070, Pakistan)

  • Muhammad Umar Chaudhry

    (Department of Computer Science, MNS-University of Agriculture, Multan 66000, Pakistan)

  • Dmitry Nazarenko

    (Laboratory of Intelligent Agricultural Machines and Complexes, Don State Technical University, 344000 Rostov-on-Don, Russia)

  • Inam ul Hasan Shaikh

    (Department of Electrical Engineering, University of Engineering and Technology, Taxila 47070, Pakistan)

  • Vadim Bolshev

    (Laboratory of Intelligent Agricultural Machines and Complexes, Don State Technical University, 344000 Rostov-on-Don, Russia
    Federal Scientific Agroengineering Center VIM, 109428 Moscow, Russia)

  • Muhammad Munwar Iqbal

    (Department of Computer Science, University of Engineering and Technology, Taxila 47070, Pakistan)

  • Sohail Khalid

    (Department of Electrical Engineering, Riphah International University, Islamabad 45210, Pakistan)

  • Vladimir Panchenko

    (Department of Theoretical and Applied Mechanics, Russian University of Transport, 127994 Moscow, Russia)

Abstract

Agriculture activities are completely dependent upon energy production worldwide. This research presents sensorless speed control of a three-phase induction motor aided with an extended Kalman filter (EKF). Although a proportional integral (PI) controller can ensure tracking of the rotor speed, a considerable magnitude of ripples is present in the torque generated by a motor. Adding a simple derivative to have a proportional integral derivative (PID) action can cause a further increase in ripple magnitude, as it allows the addition of high-frequency noise in the system. Therefore, a fractional-order-based PID control is presented. The proposed control scheme is applied in a closed loop with the system, and simulation results are compared with the PID controller. It is evident from the results that the fractional order control not only ensures 20 times faster tracking, but ripple magnitude in torque was also reduced by a factor of 50% compared to that while using PID and ensures the effectiveness of the proposed strategy.

Suggested Citation

  • Tayyaba Nosheen & Ahsan Ali & Muhammad Umar Chaudhry & Dmitry Nazarenko & Inam ul Hasan Shaikh & Vadim Bolshev & Muhammad Munwar Iqbal & Sohail Khalid & Vladimir Panchenko, 2023. "A Fractional Order Controller for Sensorless Speed Control of an Induction Motor," Energies, MDPI, vol. 16(4), pages 1-15, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:1901-:d:1068478
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    References listed on IDEAS

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    1. Farinaz Behrooz & Norman Mariun & Mohammad Hamiruce Marhaban & Mohd Amran Mohd Radzi & Abdul Rahman Ramli, 2018. "Review of Control Techniques for HVAC Systems—Nonlinearity Approaches Based on Fuzzy Cognitive Maps," Energies, MDPI, vol. 11(3), pages 1-41, February.
    2. Xiaolei Cai & Qixuan Wang & Yucheng Wang & Li Zhang, 2023. "Research on a Variable-Leakage-Flux Permanent Magnet Motor Control System Based on an Adaptive Tracking Estimator," Energies, MDPI, vol. 16(2), pages 1-16, January.
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    Cited by:

    1. Fatma Ben Salem & Motab Turki Almousa & Nabil Derbel, 2024. "Enhanced Control Technique for Induction Motor Drives in Electric Vehicles: A Fractional-Order Sliding Mode Approach with DTC-SVM," Energies, MDPI, vol. 17(17), pages 1-18, August.

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