IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/386174.html
   My bibliography  Save this article

A High-Performance Control Method of Constant -Controlled Induction Motor Drives for Electric Vehicles

Author

Listed:
  • Long Chen
  • Xiaodong Sun
  • Haobin Jiang
  • Xing Xu

Abstract

A three-phase induction motor used as a propulsion system for the electric vehicle (EV) is a nonlinear, multi-input multi-output, and strong coupling system. For such a complicated model system with unmeasured and unavoidable disturbances, as well as parameter variations, the conventional vector control method cannot meet the demands of high-performance control. Therefore, a novel control strategy named least squares support vector machines (LSSVM) inverse control is presented in the paper. Invertibility of the induction motor in the constant control mode is proved to confirm its feasibility. The LSSVM inverse is composed of an LSSVM approximating the nonlinear mapping of the induction motor and two integrators. The inverse model of the constant -controlled induction motor drive is obtained by using LSSVM, and then the optimal parameters of LSSVM are determined automatically by applying a modified particle swarm optimization (MPSO). Cascading the LSSVM inverse with the induction motor drive system, the pseudolinear system can be obtained. Thus, it is easy to design the closed-loop linear regulator. The simulation results verify the effectiveness of the proposed method.

Suggested Citation

  • Long Chen & Xiaodong Sun & Haobin Jiang & Xing Xu, 2014. "A High-Performance Control Method of Constant -Controlled Induction Motor Drives for Electric Vehicles," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-10, January.
    • Handle: RePEc:hin:jnlmpe:386174
    DOI: 10.1155/2014/386174
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2014/386174.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2014/386174.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2014/386174?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
    ---><---

    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:386174. 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.