Title :
Optimum switching pattern of matrix converter space vector modulation
Author :
Bozorgi, Amir Masoud ; Monfared, Mohammad ; Mashhadi, Habib Rajabi
Author_Institution :
Dept. of Electr. Eng., Ferdowsi Univ. of Mashhad, Mashhad, Iran
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 :
genetic algorithms; harmonic distortion; matrix convertors; modulation; Matlab/Simulink; WTHD; degrees of freedom; duty cycle; genetic algorithm; low-order harmonics; matrix converter space vector modulation; optimum switching pattern; switching pattern optimization problem; weighted total harmonic distortion; Genetic algorithms; Harmonic analysis; Matrix converters; Modulation; Support vector machines; Switches; Vectors; Matrix converter; gentic algorithms (GA); space vector modulation (SVM); switching pattern;
Conference_Titel :
Computer and Knowledge Engineering (ICCKE), 2012 2nd International eConference on
Conference_Location :
Mashhad
Print_ISBN :
978-1-4673-4475-3
DOI :
10.1109/ICCKE.2012.6395358