Control of a direct matrix converter with modulated model predictive control

Vijayagopal, Manjusha, Zanchetta, Pericle, Empringham, Lee, De Lillo, Liliana, Tarisciotti, Luca and Wheeler, Patrick (2017) Control of a direct matrix converter with modulated model predictive control. IEEE Transactions on Industry Applications, 53 (3). pp. 2342-2349. ISSN 0093-9994

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Abstract

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.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/858969
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.
Keywords: Matrix Converter, Model Predictive Control, Modulated Model Predictive Control.
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
Identification Number: 10.1109/TIA.2017.2674602
Depositing User: Burns, Rebecca
Date Deposited: 15 Sep 2017 09:51
Last Modified: 04 May 2020 18:44
URI: https://eprints.nottingham.ac.uk/id/eprint/46365

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