Alejandro Olloqui
Model-Based Predictive Rotor Current Control Strategy for Indirect Power Control of a DFIM Driven by an Indirect Matrix Converter
Olloqui, Alejandro; Elizondo, Jose L.; Rivera, Marco; Macias, Manuel; Micheloud-Vernackt, Osvaldo M.; Pena, Ruben; Wheeler, Patrick
Authors
Jose L. Elizondo
Marco Rivera
Manuel Macias
Osvaldo M. Micheloud-Vernackt
Ruben Pena
PATRICK WHEELER pat.wheeler@nottingham.ac.uk
Professor of Power Electronic Systems
Abstract
This paper presents a new control strategy using model-based predictive current control (MB-PCC) for a doubly fed induction machine (DFIM) driven by an indirect matrix converter (IMC). This strategy proposes the control of rotor currents, whose references are calculated from active and reactive stator power set points and the dynamic model of the DFIM. The control strategy works well in the four P-Q operating regions of the DFIM. The grid synchronization process is carried out by setting the P-Q power set points to zero. The results include the DFIM synchronization procedure as well as the active and reactive power control at variable shaft speed to validate the feasibility of the proposed strategy.
Citation
Olloqui, A., Elizondo, J. L., Rivera, M., Macias, M., Micheloud-Vernackt, O. M., Pena, R., & Wheeler, P. (2021). Model-Based Predictive Rotor Current Control Strategy for Indirect Power Control of a DFIM Driven by an Indirect Matrix Converter. IEEE Transactions on Energy Conversion, 36(2), 1510-1516. https://doi.org/10.1109/TEC.2020.3038471
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 8, 2020 |
Online Publication Date | Nov 17, 2020 |
Publication Date | 2021-06 |
Deposit Date | Jan 7, 2021 |
Publicly Available Date | Jan 7, 2021 |
Journal | IEEE Transactions on Energy Conversion |
Print ISSN | 0885-8969 |
Electronic ISSN | 1558-0059 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Volume | 36 |
Issue | 2 |
Pages | 1510-1516 |
DOI | https://doi.org/10.1109/TEC.2020.3038471 |
Keywords | Electrical and Electronic Engineering; Energy Engineering and Power Technology |
Public URL | https://nottingham-repository.worktribe.com/output/5205027 |
Publisher URL | https://ieeexplore.ieee.org/document/9262048/ |
Additional Information | © 2020 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. |
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