IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i19p7200-d930188.html
   My bibliography  Save this article

Cascade-Free Modulated Predictive Direct Speed Control of PMSM Drives

Author

Listed:
  • Changming Zheng

    (School of Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Jiafeng Yang

    (School of Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Zheng Gong

    (School of Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Ziyu Xiao

    (School of Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Xuanxuan Dong

    (School of Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China)

Abstract

Conventional predictive control for permanent magnet synchronous motors (PMSMs) contains dual speed and current loops, and has a complex structure and multiple parameters to be tuned. Conventional predictive direct speed control (PDSC) exhibits an unsatisfactory steady-state performance. To tackle these issues, this paper presents a cascade-free modulated PDSC (MPDSC) scheme for PMSM drives. First, a speed predictive model is built, where a second-order sliding mode observer is employed to quickly and robustly estimate the load torque. Then, a dual objective cost function with speed and stator current tracking is designed, which improves the system’s steady-state performance. Furthermore, the analytical solution of the constrained optimal voltage vector is derived and it is synthesized by space vector modulation, resulting in a fixed switching frequency. Experimental results show that the proposed MPDSC has stronger robustness, and lower torque ripples and stator current harmonics compared to conventional PDSC.

Suggested Citation

  • Changming Zheng & Jiafeng Yang & Zheng Gong & Ziyu Xiao & Xuanxuan Dong, 2022. "Cascade-Free Modulated Predictive Direct Speed Control of PMSM Drives," Energies, MDPI, vol. 15(19), pages 1-13, September.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:7200-:d:930188
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/19/7200/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/19/7200/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Mengmeng Tian & Hailiang Cai & Wenliang Zhao & Jie Ren, 2023. "Nonlinear Predictive Control of Interior Permanent Magnet Synchronous Machine with Extra Current Constraint," Energies, MDPI, vol. 16(2), pages 1-14, January.
    2. Chi Zhang & Binyue Xu & Jasronita Jasni & Mohd Amran Mohd Radzi & Norhafiz Azis & Qi Zhang, 2023. "Three Voltage Vector Duty Cycle Optimization Strategy of the Permanent Magnet Synchronous Motor Driving System for New Energy Electric Vehicles Based on Finite Set Model Predictive Control," Energies, MDPI, vol. 16(6), pages 1-18, 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:15:y:2022:i:19:p:7200-:d:930188. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.