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Modulated Optimal Model Predictive Control for Variable Speed Gen-Sets

Lookup NU author(s): Dr Shafiq OdhanoORCiD

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This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by IEEE, 2018.

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Abstract

© 2018 IEEE. This paper investigates the DC-link voltage control of an active rectifier that is supplied by a variable speed permanent magnet synchronous generator. This configuration is commonly encountered in gearless wind energy conversion systems as well as in variable speed generating units. The proposed control strategy uses an optimal voltage vector based modulated model predictive control to achieve direct power control. The studied scheme combines the advantages of finite control set Model Predictive Control (MPC) and control techniques that use pulse width modulator. The fast dynamics of the former are obtained during large transients and constant switching frequency operation, of the latter, is ensured in steady state. At each sampling instant, all switching states are evaluated and the two adjacent states that give minimum error in the controlled variables are selected. The duty-cycle of each of these vectors is computed through linear combination and appropriately limited for over-modulation. Simulations and Co-simulation results presented in the paper show interesting results. The control strategy has been developed on an FPGA control platform and experimental results at steady state are shown, which guarantee the computational feasibility of the control strategy.


Publication metadata

Author(s): Bigarelli L, Lidozzi A, Di Benedetto M, Solero L, Odhano S, Zanchetta P

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: IEEE Energy Conversion Congress and Exposition (ECCE 2018)

Year of Conference: 2018

Pages: 6859-6865

Online publication date: 06/12/2018

Acceptance date: 02/04/2018

Date deposited: 30/03/2020

ISSN: 2329-3748

Publisher: IEEE

URL: https://doi.org/10.1109/ECCE.2018.8558374

DOI: 10.1109/ECCE.2018.8558374

Library holdings: Search Newcastle University Library for this item

ISBN: 9781479973125


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