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Control of a direct matrix converter with modulated model predictive control

Vijayagopal, Manjusha; Zanchetta, Pericle; Empringham, Lee; De Lillo, Liliana; Tarisciotti, Luca; Wheeler, Patrick


Manjusha Vijayagopal

Professor of Power Conversion Technologies

Luca Tarisciotti


This paper investigates the use of a model- predic-tive control strategy to control a direct matrix converter. The proposed control method combines the features of the classical Model Predictive Control and the Space Vector Modulation technique into a Modulated Model Predictive Control. This new solution maintains all the characteristics of Model Predictive Control (such as fast transient response ,multi-objective control using only one feedback loop, easy inclusion of non-linearities and constraints of the system, the flexibility to include other system requirements in the controller) adding the advantages of working at fixed switching frequency and improving the quality of the controlled waveforms. Simulation and experimental results employing the control method to a direct matrix converter are presented.


Vijayagopal, M., Zanchetta, P., Empringham, L., De Lillo, L., Tarisciotti, L., & Wheeler, P. (2017). Control of a direct matrix converter with modulated model predictive control. IEEE Transactions on Industry Applications, 53(3), 2342-2349.

Journal Article Type Article
Acceptance Date Feb 5, 2017
Online Publication Date Feb 23, 2017
Publication Date May 1, 2017
Deposit Date Sep 15, 2017
Publicly Available Date Sep 15, 2017
Journal IEEE Transactions on Industry Applications
Print ISSN 0093-9994
Electronic ISSN 0093-9994
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 53
Issue 3
Pages 2342-2349
Keywords Matrix Converter, Model Predictive Control, Modulated Model Predictive Control.
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Additional Information 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.


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