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Real-Time Implementation of Sensorless DTC-SVM Applied to 4WDEV Using the MRAS Estimator

Author

Listed:
  • Abdelhak Boudallaa

    (Laboratoire des Sciences et Techniques Pour l’Ingénieur (LASTI), National School of Applied Sciences (ENSA), Université Sultan Moulay Slimane, Khouribga 25000, Morocco)

  • Ahmed Belkhadir

    (Laboratoire des Systèmes Electriques, Efficacité Energétique et Télécommunications (LSEEET), Faculty of Sciences and Technologies, Université Cadi Ayyad, P.O. Box 549, Marrakech 40000, Morocco
    Laboratoire Systèmes Electrotechniques et Environnement (LSEE), Université Artois, UR 4025, F-62400 Béthune, France)

  • Mohammed Chennani

    (Laboratoire des Systèmes Electriques, Efficacité Energétique et Télécommunications (LSEEET), Faculty of Sciences and Technologies, Université Cadi Ayyad, P.O. Box 549, Marrakech 40000, Morocco)

  • Driss Belkhayat

    (Laboratoire des Systèmes Electriques, Efficacité Energétique et Télécommunications (LSEEET), Faculty of Sciences and Technologies, Université Cadi Ayyad, P.O. Box 549, Marrakech 40000, Morocco)

  • Youssef Zidani

    (Laboratoire des Systèmes Electriques, Efficacité Energétique et Télécommunications (LSEEET), Faculty of Sciences and Technologies, Université Cadi Ayyad, P.O. Box 549, Marrakech 40000, Morocco)

  • Karim Rhofir

    (Laboratoire des Sciences et Techniques Pour l’Ingénieur (LASTI), National School of Applied Sciences (ENSA), Université Sultan Moulay Slimane, Khouribga 25000, Morocco)

Abstract

This article presents the DTC-SVM approach for controlling a sensorless speed induction motor. To implement this approach, a practical prototype is built using a microcontroller, an embedded GPS module, and a memory card to collect real-time data during the driving route, such as road geographical data, speed, and time. These data are then utilized in the laboratory to implement the control law (DTC-SVM) on the electric vehicle. The d-q model of the induction motor is first presented to explain the requirements for calculating the rotor speed. Then, an adaptive model reference system speed estimator is developed based on the rotor flux, along with a controller and DTC-SVM strategy, which are implemented using the dSpace 1104 board to achieve the desired performance. The simulation results demonstrate satisfactory speed regulation with the proposed system. In this study too, an electronic differential system is modeled for the four wheels of an electric vehicle equipped with an integrated motor, all controlled by the DTC-SVM strategy. Vehicle speed and electrical vehicle steering angle variations, as well as wheel speeds estimated by code system, are verified using MATLAB/Simulink simulations.

Suggested Citation

  • Abdelhak Boudallaa & Ahmed Belkhadir & Mohammed Chennani & Driss Belkhayat & Youssef Zidani & Karim Rhofir, 2023. "Real-Time Implementation of Sensorless DTC-SVM Applied to 4WDEV Using the MRAS Estimator," Energies, MDPI, vol. 16(20), pages 1-23, October.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:20:p:7090-:d:1259619
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    References listed on IDEAS

    as
    1. Mahmoud A. Mossa & Hamdi Echeikh & Ahmed A. Zaki Diab & Hassan Haes Alhelou & Pierluigi Siano, 2021. "Comparative Study of Hysteresis Controller, Resonant Controller and Direct Torque Control of Five-Phase IM under Open-Phase Fault Operation," Energies, MDPI, vol. 14(5), pages 1-23, February.
    2. Sofiane Bacha & Ramzi Saadi & Mohamed Yacine Ayad & Mohamed Sahraoui & Khaled Laadjal & Antonio J. Marques Cardoso, 2023. "Autonomous Electric-Vehicle Control Using Speed Planning Algorithm and Back-Stepping Approach," Energies, MDPI, vol. 16(5), pages 1-26, March.
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