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Model Antiseptic Control Scheme to Torque Ripple Mitigation for DC-DC Converter-Based BLDC Motor Drives

Author

Listed:
  • Dileep Kumar

    (Department of Electrical and Electronics Engineering, Motihari College of Engineering, Bihar 845401, India)

  • Surya Deo Choudhary

    (Department of Electrical and Electronics Engineering, Motihari College of Engineering, Bihar 845401, India)

  • Md Tabrez

    (Department of Electrical and Electronics Engineering, Motihari College of Engineering, Bihar 845401, India)

  • Afida Ayob

    (Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia
    Centre for Automotive Research (CAR), Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia)

  • Molla Shahadat Hossain Lipu

    (Department of Electrical and Electronic Engineering, Green University of Bangladesh, Dhaka 1207, Bangladesh)

Abstract

Although brushless direct current motor (BLDCM) drives are becoming more popular in industrial and commercial applications, there are still significant difficulties and unresolved research issues that must be addressed. In BLDCM drives, commutation current ripple (CCR) and diode freewheeling during non-commutation zone (NCZ) are the major challenges. To overcome these limitations, this paper proposes a novel PWM-Model Antiseptic Control (PWM-MAC) technique to alleviate the freewheeling of the diode. The proposed PWM technique is used to alleviate the diode freewheeling in the NCZ, whereas the DCLV circuit is utilized to obtain variable DC-link voltage to address the CCR in the CZ. The MATLAB/Simulink results are included along with experimental results obtained from a laboratory prototype of 325 W. The proposed module reduces the current ripple by 31.7% and corresponding torque ripples are suppressed by approximately 32.5%. This evidences the performance of the proposed control technique.

Suggested Citation

  • Dileep Kumar & Surya Deo Choudhary & Md Tabrez & Afida Ayob & Molla Shahadat Hossain Lipu, 2022. "Model Antiseptic Control Scheme to Torque Ripple Mitigation for DC-DC Converter-Based BLDC Motor Drives," Energies, MDPI, vol. 15(21), pages 1-24, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:21:p:7823-:d:950202
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    References listed on IDEAS

    as
    1. Alejandro Rodríguez-Molina & Miguel Gabriel Villarreal-Cervantes & Omar Serrano-Pérez & José Solís-Romero & Ramón Silva-Ortigoza, 2022. "Optimal Tuning of the Speed Control for Brushless DC Motor Based on Chaotic Online Differential Evolution," Mathematics, MDPI, vol. 10(12), pages 1-32, June.
    2. Matija Krznar & Danijel Pavković & Mihael Cipek & Juraj Benić, 2021. "Modeling, Controller Design and Simulation Groundwork on Multirotor Unmanned Aerial Vehicle Hybrid Power Unit," Energies, MDPI, vol. 14(21), pages 1-26, November.
    3. Ihor Shchur & Marek Lis & Yurii Biletskyi, 2021. "Passivity-Based Control of Water Pumping System Using BLDC Motor Drive Fed by Solar PV Array with Battery Storage System," Energies, MDPI, vol. 14(23), pages 1-25, December.
    4. Yong-woon Park & Jae-sub Ko & Dae-kyong Kim, 2021. "Optimal Design of Step-Sloping Notches for Cogging Torque Minimization of Single-Phase BLDC Motors," Energies, MDPI, vol. 14(21), pages 1-15, November.
    5. Jamal Abd Ali & Mahammad A Hannan & Azah Mohamed, 2015. "A Novel Quantum-Behaved Lightning Search Algorithm Approach to Improve the Fuzzy Logic Speed Controller for an Induction Motor Drive," Energies, MDPI, vol. 8(11), pages 1-25, November.
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