IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i12p4628-d1168190.html
   My bibliography  Save this article

Analysis and Approximation of THD and Torque Ripple of Induction Motor for SVPWM Control of VSI

Author

Listed:
  • Grzegorz Sieklucki

    (Department of Power Electronics and Automation of Energy Transformation Systems, AGH University of Science and Technology, 30-059 Krakow, Poland)

  • Sylwester Sobieraj

    (Department of Power Electronics and Automation of Energy Transformation Systems, AGH University of Science and Technology, 30-059 Krakow, Poland)

  • Józef Gromba

    (Department of Power Electronics and Automation of Energy Transformation Systems, AGH University of Science and Technology, 30-059 Krakow, Poland)

  • Raluca-Elena Necula

    (Department of Automation and Electrical Engineering, Dunărea de Jos University of Galați, 800146 Galati, Romania)

Abstract

This article presents a harmonic analysis of the stator currents of a squirrel-cage induction motor fed by a voltage source inverter with PWM space vector control (SVPWM). The influence of PWM switching frequency and dead time (dead band) of controlled transistors on THD and electromagnetic torque ripple is shown. The aim is to determine the lowest switching frequency of the transistors for which the drive will operate correctly. Characteristics were determined as functions in the form of THD ( f P W M ), where the least square approximation was used for stator current measurements when the PWM switching frequency was changed. The approximations were realized for simulation and experimental results. To clarify the results, the operation of hardware PWM circuits in microcontrollers is analyzed.

Suggested Citation

  • Grzegorz Sieklucki & Sylwester Sobieraj & Józef Gromba & Raluca-Elena Necula, 2023. "Analysis and Approximation of THD and Torque Ripple of Induction Motor for SVPWM Control of VSI," Energies, MDPI, vol. 16(12), pages 1-22, June.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:12:p:4628-:d:1168190
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/12/4628/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/12/4628/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Grzegorz Sieklucki, 2021. "Optimization of Powertrain in EV," Energies, MDPI, vol. 14(3), pages 1-12, January.
    2. Hongjin Hu & Haoze Wang & Kun Liu & Jingbo Wei & Xiangjie Shen, 2022. "A Simplified Space Vector Pulse Width Modulation Algorithm of a High-Speed Permanent Magnet Synchronous Machine Drive for a Flywheel Energy Storage System," Energies, MDPI, vol. 15(11), pages 1-21, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Piotr Gnaciński & Marcin Pepliński & Adam Muc & Damian Hallmann & Piotr Jankowski, 2023. "Effect of Ripple Control on Induction Motors," Energies, MDPI, vol. 16(23), pages 1-12, November.

    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. Grzegorz Sieklucki & Dawid Kara, 2022. "Design and Modelling of Energy Conversion with the Two-Region Torque Control of a PMSM in an EV Powertrain," Energies, MDPI, vol. 15(13), pages 1-18, July.
    2. Aissam Riad Meddour & Nassim Rizoug & Patrick Leserf & Christopher Vagg & Richard Burke & Cherif Larouci, 2023. "Optimization of the Lifetime and Cost of a PMSM in an Electric Vehicle Drive Train," Energies, MDPI, vol. 16(13), pages 1-27, July.
    3. Hyunjae Lee & Gunbok Lee & Gildong Kim & Jingeun Shon, 2022. "Variable Incremental Controller of Permanent-Magnet Synchronous Motor for Voltage-Based Flux-Weakening Control," Energies, MDPI, vol. 15(15), pages 1-15, August.
    4. Hyun-Jae Lee & Jin-Geun Shon, 2021. "Improved Voltage Flux-Weakening Strategy of Permanent Magnet Synchronous Motor in High-Speed Operation," Energies, MDPI, vol. 14(22), pages 1-15, November.
    5. Pedram Asef & Ramon Bargallo & Andrew Lapthorn & Davide Tavernini & Lingyun Shao & Aldo Sorniotti, 2021. "Assessment of the Energy Consumption and Drivability Performance of an IPMSM-Driven Electric Vehicle Using Different Buried Magnet Arrangements," Energies, MDPI, vol. 14(5), pages 1-22, March.
    6. Dimitrios Rimpas & Stavrοs D. Kaminaris & Dimitrios D. Piromalis & George Vokas & Konstantinos G. Arvanitis & Christos-Spyridon Karavas, 2023. "Comparative Review of Motor Technologies for Electric Vehicles Powered by a Hybrid Energy Storage System Based on Multi-Criteria Analysis," Energies, MDPI, vol. 16(6), pages 1-24, March.

    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:16:y:2023:i:12:p:4628-:d:1168190. 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.