• DocumentCode
    27740
  • Title

    Implementation of online maximum efficiency tracking control for a dual-motor drive system

  • Author

    Shao-Kai Tseng ; Tian-Hua Liu ; Jing-Wei Hsu ; Ramelan, Luiz Rizki ; Firmansyah, Eka

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
  • Volume
    9
  • Issue
    7
  • fYear
    2015
  • fDate
    8 2015
  • Firstpage
    449
  • Lastpage
    458
  • Abstract
    This paper proposes an online maximum efficiency tracking control for a dual-motor drive system. The efficiency of each drive system is obtained by online measuring the input power and online estimating the output power. Two algorithms, including the steepest ascent algorithm and fuzzy logic algorithm are proposed to achieve maximum efficiency tracking. The proposed methods do not require any computations related to the copper and core losses of the motor and the switching and conduction losses of the inverter. In addition, the proposed drive system can have better efficiency and better flexibility and requires smaller power ratings of each motor and inverter, which are easily manufactured in industry. The control algorithms are executed by using two digital signal processors, type TMS 320-F2808, made by Texas Instruments Incorporated Company. A controller area network (CAN) bus is used as a communication tool. Several experimental results show the correctness and feasibility of the proposed method. The proposed method can be easily applied in industry because of its simplicity.
  • Keywords
    fuzzy control; machine control; motor drives; CAN bus; Texas Instruments Incorporated Company; communication tool; conduction losses; control algorithms; copper losses; core losses; digital signal processors; dual-motor drive system; fuzzy logic algorithm; online maximum efficiency tracking control; power ratings; steepest ascent algorithm; switching losses; type TMS 320-F2808;
  • fLanguage
    English
  • Journal_Title
    Electric Power Applications, IET
  • Publisher
    iet
  • ISSN
    1751-8660
  • Type

    jour

  • DOI
    10.1049/iet-epa.2014.0415
  • Filename
    7172632