IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i10p2772-d175971.html
   My bibliography  Save this article

A Wireless-Driven, Micro, Axial-Flux, Single-Phase Switched Reluctance Motor

Author

Listed:
  • Da-Chen Pang

    (Department of Mechanical Engineering, National Kaohsiung University of Science and Technology, 415 Jian Gong Rd., Sanmin Dist., Kaohsiung 80778, Taiwan)

  • Chih-Ting Wang

    (Department of Mechanical Engineering, National Kaohsiung University of Science and Technology, 415 Jian Gong Rd., Sanmin Dist., Kaohsiung 80778, Taiwan)

Abstract

This study proposes a novel, axial-flux, single-phase switched reluctance motor for micro machines with wireless-driven capability. The rotor and stator each have two poles, and the stator utilizes two permanent magnets to provide the required parking position and rotational torque. By reducing the number of magnetic poles and coils in the stator, and by utilizing a cylindrical design for its stator components, the micro motor is able to be easily manufactured and assembled. Safety and convenience are also achieved through the use of a wireless drive, which negates the need for power connections or batteries. This study utilizes the topology method in rotor design to reduce excessive torque ripple. For this study, an actual micro, axial-flux, single-phase switched reluctance motor with a diameter of 5.5 mm and length of 4.4 mm was built in combination with a wireless charging module and motor circuitry found on the market. With an induced current of 0.7 A, the motor achieved a maximum of 900 rpm, indicating possible applications with respect to toys, micro-pumps, dosing pumps, and vessels for gases, liquids, or vacuum that do not require feedthrough.

Suggested Citation

  • Da-Chen Pang & Chih-Ting Wang, 2018. "A Wireless-Driven, Micro, Axial-Flux, Single-Phase Switched Reluctance Motor," Energies, MDPI, vol. 11(10), pages 1-17, October.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:10:p:2772-:d:175971
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/10/2772/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/11/10/2772/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Chiweta Emmanuel Abunike & Ogbonnaya Inya Okoro & Sumeet S. Aphale, 2022. "Intelligent Optimization of Switched Reluctance Motor Using Genetic Aggregation Response Surface and Multi-Objective Genetic Algorithm for Improved Performance," Energies, MDPI, vol. 15(16), pages 1-23, August.
    2. Vladimir Kindl & Tomas Kavalir & Jiri Sika & Jan Hnatik & Michal Krizek & Michal Frivaldsky, 2022. "Wireless Power Transmission System for Powering Rotating Parts of Automatic Machineries," Energies, MDPI, vol. 15(18), pages 1-15, September.

    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:11:y:2018:i:10:p:2772-:d:175971. 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.