• DocumentCode
    2714314
  • Title

    The Power Model of PT and Decomposition Analytic Approach for PT Converter

  • Author

    Weiping Zhang ; Yaai Chen ; Jing Cao ; Yuanchao Liu ; Xiaoqiang Zhang

  • Author_Institution
    Coll. of Inf. Eng., North China Electr. Power Univ., Beijing
  • fYear
    2006
  • fDate
    18-22 June 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A power model of piezoelectric-transformer (PT) and an analytic approach for PT converter have been investigated in this paper. The main contributions are as the followings: (1) it has been proved by the experimental result that PT is a nonlinear power device; (2) a power model of PT has been proposed and a method of finding out PT´s internal parameters has been developed by employing the PT´s efficiency formula and multi-frequency equations; (3) based on the power model, a decomposition analytic approach for PT converter has been given out to decompose a PT converter into two independent-cascade circuits; (4) a PT converter prototype with 50 watts and 12 VDC has been built up to verify the proposed model and new analytic approach. The theoretic results are very well coincided with the simulation results and experimental results. The maximum error is less than 6%. So, the proposed power model and decomposition analytic approach are able to provide a powerful tool for developing PT converter
  • Keywords
    cascade networks; piezoelectric devices; power convertors; power transformers; 50 W; decomposition analytic approach; independent-cascade circuits; multifrequency equations; nonlinear power device; piezoelectric-transformer converter; power model; Bandwidth; Capacitance; Educational institutions; Equivalent circuits; Error analysis; Inductance; Nonlinear equations; Power engineering and energy; Prototypes; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics Specialists Conference, 2006. PESC '06. 37th IEEE
  • Conference_Location
    Jeju
  • ISSN
    0275-9306
  • Print_ISBN
    0-7803-9716-9
  • Type

    conf

  • DOI
    10.1109/PESC.2006.1712049
  • Filename
    1712049