Open AccessCommutation issues in Single Phase Matrix Converter
Author(s) -
Santosh Sonar
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.e6258.018520
Subject(s) - commutation , rectifier (neural networks) , waveform , harmonics , pulse width modulation , computer science , inverter , matlab , electronic engineering , three phase , converters , forward converter , control theory (sociology) , voltage , electrical engineering , boost converter , engineering , control (management) , stochastic neural network , machine learning , artificial intelligence , recurrent neural network , artificial neural network , operating system
This paper presents a single-phase AC-AC matrix converter as a frequency converter. Due to continuous increase in the use of electronics converters like AC- AC, AC- DC, DC – AC and DC-DC, there is always a thrust to develop a converter, which generates lesser harmonics, minimum switching losses and high quality desired waveforms across output and input. It stimulates the researchers to innovate new ideas to minimize these effects. In this paper, the focus is to design and Implementation of Matrix Converter (MC) for frequency changing applications .A simple PWM mechanism is proposed to design a mathematical model of single phase Matrix Converter. There is no DC link between rectifier and inverter stage which add up some efficient properties like compact design, bidirectional current flow capabilities. A suitable commutation technique is analyzed. Simulation work is done in MATLAB Simulink environment and comparison with mathematical results is presented.