IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/2614327.html
   My bibliography  Save this article

Application Research of Chaotic Carrier Frequency Modulation Technology in Two-Stage Matrix Converter

Author

Listed:
  • Kai Wang
  • Liwei Li
  • Yong Lan
  • Peng Dong
  • Guoting Xia

Abstract

The harmonics of line to line voltage in two-stage matrix converter (TSMC) with fixed carrier frequency had discrete and high values and produced powerful electromagnetic interference (EMI). In this paper, chaotic carrier frequency modulation technique (CCFMT) was applied in TSMC for the first time to spread sideband range and suppress harmonic peak value. Although this technique could suppress EMI, it would increase the probability of narrow pulses. In order to improve reliability, the rectifier in the two-stage matrix converter uses PWM modulation with zero vector to extend the zero current commutation time, solves the narrow pulse problem, and simplifies the commutation process. At last, an experiment platform was designed and experimental results showed that harmonics of line to line voltage was efficiently suppressed.

Suggested Citation

  • Kai Wang & Liwei Li & Yong Lan & Peng Dong & Guoting Xia, 2019. "Application Research of Chaotic Carrier Frequency Modulation Technology in Two-Stage Matrix Converter," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-8, March.
    • Handle: RePEc:hin:jnlmpe:2614327
    DOI: 10.1155/2019/2614327
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2019/2614327.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2019/2614327.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2019/2614327?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

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


    Cited by:

    1. Li, Dezhi & Li, Shuo & Zhang, Shubo & Sun, Jianrui & Wang, Licheng & Wang, Kai, 2022. "Aging state prediction for supercapacitors based on heuristic kalman filter optimization extreme learning machine," Energy, Elsevier, vol. 250(C).
    2. Kai Wang & Wanli Wang & Licheng Wang & Liwei Li, 2020. "An Improved SOC Control Strategy for Electric Vehicle Hybrid Energy Storage Systems," Energies, MDPI, vol. 13(20), pages 1-13, October.

    More about this item

    Statistics

    Access and download statistics

    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:hin:jnlmpe:2614327. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.