• DocumentCode
    255750
  • Title

    Inverter´s characteristic analysis under different parameters of wavelet PWM technique

  • Author

    Chun Fang Zheng ; Xiang Min Xu ; Bo Zhang ; Dong Yuan Qiu

  • Author_Institution
    Coll. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China
  • fYear
    2014
  • fDate
    26-28 Aug. 2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper presents the principle and implementation of the wavelet PWM (WPWM) technique based on dyadic-type multi-resolution analyses (MRAs) for single-phase inverters, analyzes and gives the inverter´s output features at different parameters based on WPWM technique, which is beneficial to choose suitable parameters. Finally, according to the harmonic eliminating principle, compares WPWM with SPWM technique by some specific examples. The calculation and simulation results show that WPWM can get simpler realization by digital algorithm, higher fundamental component magnitudes and lower THD factors, but the range of fundamental component magnitude is smaller and the ability of eliminating lower harmonics is worse, which provide theoretical basis for the application of the WPWM efficiently in practice.
  • Keywords
    PWM invertors; harmonic distortion; harmonics suppression; wavelet transforms; MRA; SPWM technique; THD factors; WPWM technique; digital algorithm; dyadic-type multiresolution analyses; fundamental component magnitudes; harmonic eliminating principle; inverter characteristic analysis; inverter output features; single-phase inverters; sinusoidal pulse width modulation; wavelet PWM technique; Harmonic analysis; Inverters; Power system harmonics; Pulse width modulation; Switches; Voltage control; Inverters; MRAs; SPWM; Wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Applications (EPE'14-ECCE Europe), 2014 16th European Conference on
  • Conference_Location
    Lappeenranta
  • Type

    conf

  • DOI
    10.1109/EPE.2014.6910912
  • Filename
    6910912