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Indirect model predictive control strategies with input filter resonance mitigation for a matrix converter operating at fixed switching frequency

Rivera, Marco; Nikolic, A.; Tarisciotti, Luca; Wheeler, Patrick

Authors

Marco Rivera

A. Nikolic

Luca Tarisciotti luca.tarisciotti@nottingham.ac.uk



Abstract

The main issues of the implementation of model predictive control in a direct matrix converter are the high com¬putational cost, the adequate selection of weighting factors and the variable switching frequency which could produce resonances in the input filter. In order to solve these problems, in this paper are proposed two indirect model predictive control techniques with input filter resonance mitigation operating at fixed switching frequency. The method is based on the fictitious dc-link concept, which has been used in the past for the classical modulation and control techniques of the direct matrix converter. Simulated results confirm the feasibility of the proposal demonstrating that it is an alternative to classical predictive control strategies for the direct matrix converter.

Citation

Rivera, M., Nikolic, A., Tarisciotti, L., & Wheeler, P. (2017). Indirect model predictive control strategies with input filter resonance mitigation for a matrix converter operating at fixed switching frequency

Conference Name 19th International Symposium on Power Electronics (Ee2017)
End Date Oct 21, 2017
Acceptance Date Jul 31, 2017
Publication Date Dec 11, 2017
Deposit Date Jan 19, 2018
Publicly Available Date Jan 19, 2018
Peer Reviewed Peer Reviewed
Keywords active damping, current control, matrix convert¬ers, indirect model predictive control, fictitious dc-link
Public URL http://eprints.nottingham.ac.uk/id/eprint/49175
Publisher URL http://ieeexplore.ieee.org/document/8171686/
Related Public URLs http://www.dee.uns.ac.rs/
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
Additional Information © 2017 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.

Published in: Proceedings of 2017 International Symposium on Power Electronics (Ee). IEEE, 2017. doi: 10.1109/PEE.2017.8171686

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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