2nd International eConference on Computer and Knowledge Engineering (ICCKE 2012) , 2012-10-18

Title : ( Optimum Switching Pattern of Matrix Converter Space Vector Modulation )

Authors: Amir Masoud Bozorgi , Mohammad Monfared , Habib Rajabi Mashhadi ,

Citation: BibTeX | EndNote

Abstract

This paper presents an optimum switching pattern for the space vector modulation (SVM) of matrix converters based on a genetic algorithm. The possibility of choosing the sequence of active duty cycles, and the ability to allocate the duration of the inactive duty cycle to each one of the zero duty cycles in a matrix converter SVM, provide some degrees of freedom in designing of the switching pattern. This leads to an optimization problem. Therefore, a suitable genetic algorithm for solving the switching pattern optimization problem is adopted, and an objective function to minimize the weighted total harmonic distortion (WTHD) and the low-order harmonics of the output voltage is proposed. Simulations in Matlab/Simulink confirm the validity of analytical achievements.

Keywords

, Matrix converter, Space vector modulation (SVM), Switching pattern, Gentic algorithms (GA)
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@inproceedings{paperid:1031660,
author = {Bozorgi, Amir Masoud and Monfared, Mohammad and Rajabi Mashhadi, Habib},
title = {Optimum Switching Pattern of Matrix Converter Space Vector Modulation},
booktitle = {2nd International eConference on Computer and Knowledge Engineering (ICCKE 2012)},
year = {2012},
location = {مشهد, IRAN},
keywords = {Matrix converter; Space vector modulation (SVM); Switching pattern; Gentic algorithms (GA)},
}

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%0 Conference Proceedings
%T Optimum Switching Pattern of Matrix Converter Space Vector Modulation
%A Bozorgi, Amir Masoud
%A Monfared, Mohammad
%A Rajabi Mashhadi, Habib
%J 2nd International eConference on Computer and Knowledge Engineering (ICCKE 2012)
%D 2012

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