• DocumentCode
    3482162
  • Title

    Linear motor control based on resistance identification with wavelet transform

  • Author

    Jiefan, Cui ; Yue, Fu ; Nan, Zhao ; Feng, Xing ; Xia, Yang

  • Author_Institution
    Sch. of Electr. Eng., Shenyang Univ. of Technol., Shenyang, China
  • fYear
    2009
  • fDate
    5-7 Aug. 2009
  • Firstpage
    1518
  • Lastpage
    1521
  • Abstract
    Wavelet analysis is used in direct thrust control system of linear motor drive in this paper. The change of the primary resistance of linear motor will greatly affect the performances of direct thrust control system at low speeds. The observation of flux linkage is improved by accurate identification of primary resistance, and the direct thrust control performance of linear motor is further improved. Because of the time frequency location characteristic and multi-scale ability of wavelet transform and multi-resolution analysis, wavelet transform research on direct thrust control system is proposed. This paper selects different wavelets to analyze the extract data in different scaling function, and obtains the trace data from basic data. Then realized signal wavelet identification. The simulation results show these identifiers can precisely measure the value of resistance and efficiently improve the low-speed performances of direct thrust control system.
  • Keywords
    linear motors; machine control; motor drives; wavelet transforms; direct thrust control system; flux linkage; linear motor control; multiresolution analysis; resistance identification; wavelet transform; Control systems; Couplings; Data analysis; Data mining; Electrical resistance measurement; Motor drives; Signal processing; Time frequency analysis; Wavelet analysis; Wavelet transforms; Direct Thrust Control; Linear Motor; Resistance Identification; Wavelet Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-4794-7
  • Electronic_ISBN
    978-1-4244-4795-4
  • Type

    conf

  • DOI
    10.1109/ICAL.2009.5262739
  • Filename
    5262739