IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i11p4021-d827900.html
   My bibliography  Save this article

Adaptive Charge-Compensation-Based Variable On-Time Control to Improve Input Current Distortion for CRM Boost PFC Converter

Author

Listed:
  • Xinjun Liu

    (Department of Electrical Engineering, Harbin Institute of Technology, Shenzhen 518055, China)

  • Donglai Zhang

    (Department of Electrical Engineering, Harbin Institute of Technology, Shenzhen 518055, China)

  • Wanyang Wang

    (School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Fanwu Zhang

    (Dongfeng Motor Corporation Technical Center, Wuhan 430074, China)

  • Jun Yuan

    (Hubei Jiufengshan Laboratory, Wuhan 430074, China)

  • Ningyu Liu

    (Hubei Jiufengshan Laboratory, Wuhan 430074, China)

Abstract

For boost power factor correction (PFC) converters operating in critical conduction mode (CRM), charge compensation strategies are utilized to improve input current distortion. However, since massive calculations are required under complex working conditions, it is difficult to achieve accurate charge compensation with limited real-time computing resources. To solve this issue, this paper proposes an adaptive charge-compensation-based variable on-time (ACVOT) control strategy. The ACVOT controller calculates the required switching on-time by adding a fundamental value and an extended on-time. The fundamental value is adjusted by the loop compensator in each half-line cycle to provide a basic bias. The extended on-time is calculated based on partial charge compensation equation in each switching cycle to reduce the distortion. Compared with conventional digital variable on-time (VOT) control, the proposed strategy improves the input current total harmonics distortion (THD) and reduces the LUT/register resources by 54%/43% in FPGA realization. To verify the effectiveness of the proposed strategy, a 200 W prototype is built using the GaN HEMT transistor, where the THD is reduced to 1.4% at full load.

Suggested Citation

  • Xinjun Liu & Donglai Zhang & Wanyang Wang & Fanwu Zhang & Jun Yuan & Ningyu Liu, 2022. "Adaptive Charge-Compensation-Based Variable On-Time Control to Improve Input Current Distortion for CRM Boost PFC Converter," Energies, MDPI, vol. 15(11), pages 1-18, May.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:11:p:4021-:d:827900
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/11/4021/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/11/4021/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tal Tayar & Alexander Abramovitz & Doron Shmilovitz, 2021. "DCM Boost PFC for High Brightness LED Driver Applications," Energies, MDPI, vol. 14(17), pages 1-16, September.
    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. Liangliang Lu & Gaoshuai Shen & Haoran Xu & Qiaoling Tong & Run Min & Qiao Zhang & Jun Yuan & Ningyu Liu, 2022. "Triple-Mode Average Current Control with Valley Current Shaping for DCM/CRM/CCM Boost PFC Converter," Energies, MDPI, vol. 15(19), pages 1-23, October.

    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. Liangliang Lu & Gaoshuai Shen & Haoran Xu & Qiaoling Tong & Run Min & Qiao Zhang & Jun Yuan & Ningyu Liu, 2022. "Triple-Mode Average Current Control with Valley Current Shaping for DCM/CRM/CCM Boost PFC Converter," Energies, MDPI, vol. 15(19), pages 1-23, October.

    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:11:p:4021-:d:827900. 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.