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Current Spikes Minimization Method for Three-Phase Permanent Magnet Brushless DC Motor with Real-Time Implementation

Author

Listed:
  • Mohamed Dahbi

    (Applied Physics Department, Faculty of Sciences and Techniques Marrakech, Cadi Ayyad University, BP 549, Av Abdelkarim Elkhattabi, Gueliz, Marrakesh 4 000, Morocco
    Laboratory of Innovative Technologies, Picardie Jules Verne University, 80025 Amiens, France)

  • Said Doubabi

    (Applied Physics Department, Faculty of Sciences and Techniques Marrakech, Cadi Ayyad University, BP 549, Av Abdelkarim Elkhattabi, Gueliz, Marrakesh 4 000, Morocco)

  • Ahmed Rachid

    (Laboratory of Innovative Technologies, Picardie Jules Verne University, 80025 Amiens, France)

Abstract

Due to their high efficiency and low cost of maintenance, brushless DC motors (BLDCMs) with trapezoidal electromotive forces (back-EMFs), have become widely used in various applications such as aerospace, electric vehicles, industrial uses, and robotics. However, they suffer from large current ripples and current spikes. In this paper, a new method for minimizing current spikes appearing during BLDCM start-up or sudden set point changes is proposed. The method is based on controlling the MOSFET gates of the motor driver using R-C filters. These filters are placed between the PWM control signal generator and the MOSFET gates to smooth these control signals. The analysis of the proposed method showed that the R-C filter usage affects the BLDCM steady-state performances. To overcome this limitation, the R-C filter circuit was activated only during current spikes detection. The effectiveness of the proposed method was analytically analyzed and then validated through simulation and experimental tests. The obtained results allowed a reduction of 13% in current spikes amplitude.

Suggested Citation

  • Mohamed Dahbi & Said Doubabi & Ahmed Rachid, 2018. "Current Spikes Minimization Method for Three-Phase Permanent Magnet Brushless DC Motor with Real-Time Implementation," Energies, MDPI, vol. 11(11), pages 1-14, November.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:11:p:3206-:d:183832
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    References listed on IDEAS

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    1. Neeraj Priyadarshi & Sanjeevikumar Padmanaban & Lucian Mihet-Popa & Frede Blaabjerg & Farooque Azam, 2018. "Maximum Power Point Tracking for Brushless DC Motor-Driven Photovoltaic Pumping Systems Using a Hybrid ANFIS-FLOWER Pollination Optimization Algorithm," Energies, MDPI, vol. 11(5), pages 1-16, April.
    2. Kai Ni & Yihua Hu & Yang Liu & Chun Gan, 2017. "Performance Analysis of a Four-Switch Three-Phase Grid-Side Converter with Modulation Simplification in a Doubly-Fed Induction Generator-Based Wind Turbine (DFIG-WT) with Different External Disturbanc," Energies, MDPI, vol. 10(5), pages 1-24, May.
    3. Bo Tan & Zhiguang Hua & Lu Zhang & Chun Fang, 2017. "A New Approach of Minimizing Commutation Torque Ripple for BLDCM," Energies, MDPI, vol. 10(11), pages 1-13, October.
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    Cited by:

    1. Abdessamad Intidam & Hassan El Fadil & Halima Housny & Zakariae El Idrissi & Abdellah Lassioui & Soukaina Nady & Abdeslam Jabal Laafou, 2023. "Development and Experimental Implementation of Optimized PI-ANFIS Controller for Speed Control of a Brushless DC Motor in Fuel Cell Electric Vehicles," Energies, MDPI, vol. 16(11), pages 1-23, May.
    2. Sandra Eriksson, 2019. "Permanent Magnet Synchronous Machines," Energies, MDPI, vol. 12(14), pages 1-5, July.
    3. Matija Krznar & Petar Piljek & Denis Kotarski & Danijel Pavković, 2021. "Modeling, Control System Design and Preliminary Experimental Verification of a Hybrid Power Unit Suitable for Multirotor UAVs," Energies, MDPI, vol. 14(9), pages 1-24, May.

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