Title :
Novel switching modulation method for 3 × 3 matrix converter utilizing neural network: Analysis, modeling, and simulation
Author :
Mansourpour, S. ; Afjei, E. ; Nazemi, Eslam ; Ziar, Hesan
Author_Institution :
Dept. of Electr. & Comput. Eng., Shahid Beheshti Univ. G.C., Tehran, Iran
Abstract :
In this paper the proper switching of the bidirectional switches found by calculating the duty cycles using Venturini´s method [3] in conjunction by employing Neural network presented. So the need for standard soft switching calculation could be eliminated and the time needed to find modulation matrix using Venturini´s method eliminate. A new modulation matrix using generalizes regression neural network is calculated for the constant output frequency and voltage magnitude. Simulation results using MATLAB Simulink for inductive and resistive loads are produced and presented. Good agreement between the standard simulations results with the new modulation technique shows the validity of this method.
Keywords :
matrix convertors; neural nets; power engineering computing; zero current switching; zero voltage switching; MATLAB Simulink; Venturini method; bidirectional switches; inductive loads; matrix converter; modulation matrix; regression neural network; resistive loads; soft switching; switching modulation; Generalize Regression Neural Network; Matrix converter; Neural Network;
Conference_Titel :
Electrical Machines and Power Electronics and 2011 Electromotion Joint Conference (ACEMP), 2011 International Aegean Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4673-5004-4
Electronic_ISBN :
978-1-4673-5002-0
DOI :
10.1109/ACEMP.2011.6490694