A review of predictive control techniques for matrix converters: part II

Rivera, Marco, Wheeler, Patrick, Olloqui, A. and Khaburi, D.A. (2016) A review of predictive control techniques for matrix converters: part II. In: 7th Power Electronics, Drive Systems and Technologies Conference, PEDSTC 2016, 16-18 Feb 2016, Tehran, Iran.

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Abstract

The second part of this paper presents an overview of different control strategies and applications for matrix converters (MCs) where predictive control techniques are applied. It will be shown that predictive control is a promising alternative to control MCs due to its simplicity and flexibility to include different constrains in the con¬trol for different industrial applications such as renewable energies, grid interconnection, multi-drives systems control, among others. In addition, some limitations and weaknesses of predictive control in MCs such as variable switching frequency, high dependence on the predictive model quality and high computational cost, will be discussed as well as some future trends in control strategies and its application to other topologies or loads.

Item Type: Conference or Workshop Item (Paper)
RIS ID: https://nottingham-repository.worktribe.com/output/776111
Additional Information: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works.
Keywords: Matrix converter, Direct matrix converter, Indirect matrix converter, Power Control, Predictive control, Modulation schemes
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
Related URLs:
URLURL Type
http://pedstc2016.iust.ac.ir/UNSPECIFIED
Depositing User: Burns, Rebecca
Date Deposited: 12 Oct 2016 08:49
Last Modified: 04 May 2020 17:36
URI: https://eprints.nottingham.ac.uk/id/eprint/37473

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