• DocumentCode
    2929899
  • Title

    Efficient-Optimization Strategy Based on Back Propagation for Vector Controlled Claw Pole Motor Drives

  • Author

    Ding, Guohua

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Shenyang Ligong Univ., Shenyang, China
  • fYear
    2011
  • fDate
    25-28 March 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    An efficiency optimization vector control scheme based on back propagation (BP) is presented in this paper. The controller is designed to generate d-axes currents command and q-axes currents command simultaneously. In order to achieve a robust BP efficiency optimization vector control from variation of motor parameters, an online learning algorithm is employed. Results of experiments are provided to demonstrate the effectiveness of the proposed method.
  • Keywords
    control engineering computing; machine vector control; permanent magnet motors; power engineering computing; synchronous motor drives; PMSM; back propagation; d-axes currents command; efficiency optimization vector control; efficient-optimization strategy; online learning algorithm; q-axes currents command; vector controlled claw pole motor drives; Artificial neural networks; Finite element methods; Induction motors; Mathematical model; Neurons; Optimal control; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
  • Conference_Location
    Wuhan
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4244-6253-7
  • Type

    conf

  • DOI
    10.1109/APPEEC.2011.5748543
  • Filename
    5748543