Harmonic Minimization in Multilevel Converter Using an Adaptive Learning Algorithm

Authors

  • MOHAN SELOKAR MUKESH PATEL SCHOOL OF TECNOLOGY MANAGEMENT AND ENGINEERING https://orcid.org/0000-0002-6832-8913
  • Manoj Sankhe Professor and Head EXTC Dept., MPSTME Mumbai

Keywords:

Multilevel inverter, Cascaded H-Bridge multilevel inverter, Total Harmonic Distortion, Sinusoidal pulse width modulation, PI Controller, Neural Network

Abstract

There is a wide use of multilevel converters as they can be used with high power and high voltage applications. A multilevel converter consists of large number of voltage levels in load  voltage and load current. A multilevel converter has number of various advantages like good quality of output voltage waveform, smaller values of  inductor and capacitor in passive filters. The output consists of less harmonics. Reduction in total harmonic distortion can be obtained  with the help of multilevel converter. Using learning algorithm like neural network, output voltage is controlled. Error in the reference voltage and output voltage is reduced. Neural network replaces the PI controller completely. A reduction in THD in output voltage and output current can be obtained by neural network by large margin as compared to PI controller. This increases the wide application of AC motor as load as it reduces torque pulsation and RF/EMI effect. It increases the efficiency by reducing power losses.   

 

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Published

2021-09-25

How to Cite

[1]
M. SELOKAR and M. . Sankhe, “Harmonic Minimization in Multilevel Converter Using an Adaptive Learning Algorithm”, Int J Eng and Appl Phys, vol. 1, no. 3, pp. 311–318, Sep. 2021.

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