• DocumentCode
    3380186
  • Title

    Distortion suppression based on adaline for single-phase SPWM inverter

  • Author

    Wen Ye ; Yuxing Peng ; Xianrong Liu ; JunLing Yang

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Chongqing Univ. of Sci. & Technol., Chongqing, China
  • fYear
    2013
  • fDate
    16-18 July 2013
  • Firstpage
    467
  • Lastpage
    472
  • Abstract
    Power switching components´ dead time, voltage drop and the change in load introduce the distortion in the output of SPWM inverter. This kind of outputs will trigger a series of serious problems, like lowering the stability of running equipment, increasing the loss, etc. In this paper, based on the causes of different kinds of distortion, aiming at the dead-zone effect, a algorithm to minimize dead time and to reduce the output zero-crossing distortion is given; aiming at the change of model parameters and load, based on adaptive linear neural network, a algorithm about distortion detection and compensation is proposed. Finally,using STM32F103ZE6 (Cortex-M3 32-bit ARM microprocessor), single-phase SPWM inverter results show that the distortion of output is only 0.9%, lower than about 85% before compensation.
  • Keywords
    PWM invertors; distortion; electronic engineering computing; interference suppression; microprocessor chips; neural nets; Adaline; Cortex-M3 32-bit ARM microprocessor; STM32F103ZE6; adaptive linear neural network; dead-zone effect; distortion compensation; distortion detection; distortion suppression; output zero-crossing distortion; power switching component dead time; single-phase SPWM inverter; voltage drop; Clamps; Educational institutions; Harmonic analysis; Inverters; Power harmonic filters; Pulse width modulation; Switches; Adaline; Inverter; SPWM; THD;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Informatics & Cognitive Computing (ICCI*CC), 2013 12th IEEE International Conference on
  • Conference_Location
    New York, NY
  • Print_ISBN
    978-1-4799-0781-6
  • Type

    conf

  • DOI
    10.1109/ICCI-CC.2013.6622284
  • Filename
    6622284