IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i23p6017-d1533104.html
   My bibliography  Save this article

Stochastic Pulse-Width Modulation and Modification of Direct Torque Control Based on a Three-Level Neutral-Point Clamped Inverter

Author

Listed:
  • Vasilev Bogdan Yurievich

    (Department of Electricity and Electromechanics, Saint Petersburg Mining University, 199106 Saint Petersburg, Russia)

  • Nguyen The Hien

    (Department of Electricity and Electromechanics, Saint Petersburg Mining University, 199106 Saint Petersburg, Russia)

Abstract

The three-level neutral-point clamped inverter represents a significant advancement in direct torque-control systems for asynchronous motors. A significant achievement of this study lies in the comprehensive analysis of a random frequency-modulation algorithm, which demonstrates its efficacy in substantially reducing the amplitude of harmonic oscillations and minimizing switching losses. This simplifies filter design and minimizes thermal dissipation in power transistors, thereby enhancing the overall reliability and efficiency of the system. Additionally, the implementation of a six-position torque regulator with a fixed sensitivity zone, applied in direct torque control based on the three-level inverter, improves the stability of the stator flux linkage and reduces the switching frequency of transistors. Numerical simulations conducted in the Matlab/Simulink environment indicate that the proposed algorithm reduces switching losses by 15% during transient states and by 2% during steady-state operation while increasing the system’s efficiency by 2% compared to conventional methods. These findings highlight the potential of the proposed solutions for application in energy-efficient drive systems.

Suggested Citation

  • Vasilev Bogdan Yurievich & Nguyen The Hien, 2024. "Stochastic Pulse-Width Modulation and Modification of Direct Torque Control Based on a Three-Level Neutral-Point Clamped Inverter," Energies, MDPI, vol. 17(23), pages 1-24, November.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:23:p:6017-:d:1533104
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/23/6017/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/23/6017/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aleksandr S. Maklakov & Ivan N. Erdakov, 2023. "Study of Behavior of Voltage and Current Spectra of Three-Level Neutral Point Clamped Converter at Selected Harmonic Elimination Programmed Pulse Pattern Pulse-Width Modulation," Energies, MDPI, vol. 16(13), pages 1-16, July.
    2. Yuriy Zhukovskiy & Aleksandra Buldysko & Ilia Revin, 2023. "Induction Motor Bearing Fault Diagnosis Based on Singular Value Decomposition of the Stator Current," Energies, MDPI, vol. 16(8), pages 1-23, April.
    3. Hani Albalawi & Sherif A. Zaid & Mohmed E. El-Shimy & Ahmed M. Kassem, 2023. "Ant Colony Optimized Controller for Fast Direct Torque Control of Induction Motor," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Boris V. Malozyomov & Nikita V. Martyushev & Nikita V. Babyr & Alexander V. Pogrebnoy & Egor A. Efremenkov & Denis V. Valuev & Aleksandr E. Boltrushevich, 2024. "Modelling of Reliability Indicators of a Mining Plant," Mathematics, MDPI, vol. 12(18), pages 1-25, September.
    2. Tatyana Kukharova & Alexander Martirosyan & Mir-Amal Asadulagi & Yury Ilyushin, 2024. "Development of the Separation Column’s Temperature Field Monitoring System," Energies, MDPI, vol. 17(20), pages 1-23, October.
    3. Pavel V. Shishkin & Boris V. Malozyomov & Nikita V. Martyushev & Svetlana N. Sorokova & Egor A. Efremenkov & Denis V. Valuev & Mengxu Qi, 2024. "Development of a Mathematical Model of Operation Reliability of Mine Hoisting Plants," Mathematics, MDPI, vol. 12(12), pages 1-26, June.
    4. Natalia Koteleva & Nikolai Korolev, 2024. "A Diagnostic Curve for Online Fault Detection in AC Drives," Energies, MDPI, vol. 17(5), pages 1-14, March.
    5. Reza Bazghandi & Mohammad Hoseintabar Marzebali & Vahid Abolghasemi & Shahin Hedayati Kia, 2023. "A Novel Mode Un-Mixing Approach in Variational Mode Decomposition for Fault Detection in Wound Rotor Induction Machines," Energies, MDPI, vol. 16(14), pages 1-17, July.
    6. Pavel V. Shishkin & Boris V. Malozyomov & Nikita V. Martyushev & Svetlana N. Sorokova & Egor A. Efremenkov & Denis V. Valuev & Mengxu Qi, 2024. "Mathematical Logic Model for Analysing the Controllability of Mining Equipment," Mathematics, MDPI, vol. 12(11), pages 1-20, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:17:y:2024:i:23:p:6017-:d:1533104. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.