Comparative Analysis of Input Power Factor Control Techniques in Matrix Converters Based on Model Predictive and Space Vector Control Schemes

Model Predictive Control (MPC) with a finite control set and space vector modulation (SVM) are the most common control methods for the matrix converters (MCs). This paper is focused on the input and output currents performance analysis of the matrix converter controlled by SVM and MPC. A closed-loop...

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Bibliographic Details
Main Authors: Zahra Malekjamshidi, Mohammad Jafari, Jianguo Zhu, Dan Xiao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8835012/
Description
Summary:Model Predictive Control (MPC) with a finite control set and space vector modulation (SVM) are the most common control methods for the matrix converters (MCs). This paper is focused on the input and output currents performance analysis of the matrix converter controlled by SVM and MPC. A closed-loop control of the input current displacement angle is employed in the SVM strategy to provide unity input power factor over a wide range of voltage transfer ratio. For MPC, a discrete-time model of the converter, including the input filter and load, are used to predict the input and output currents for each valid switching state. The MPC, SVM, and power factor controlled SVM (PFC-SVM) methods are analyzed in detail, and their performance in controlling the input power factor, current quality, and transient response are compared through numerical simulations and experimental tests.
ISSN:2169-3536