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Indirect predictive control strategy with mitigation of input filter resonances for a direct matrix converter

Rivera, Marco; Di, Z.; Zhang, Jiawei; Wheeler, Patrick

Authors

Marco Rivera

Z. Di

Jiawei Zhang eexjz28@nottingham.ac.uk , jiawei.zhang@nottingham.ac.uk

Patrick Wheeler pat.wheeler@nottingham.ac.uk



Abstract

In this paper an indirect model predictive current control strategy is proposed. The proposed method simplifies the computational cost while avoiding the use of weighting factors. Weighting factors are an issue for model predictive control in a direct matrix converter due to the large number of available switching states and necessity to control both input and output sides of the converter.

Publication Date Oct 20, 2017
Peer Reviewed Peer Reviewed
APA6 Citation Rivera, M., Di, Z., Zhang, J., & Wheeler, P. (2017). Indirect predictive control strategy with mitigation of input filter resonances for a direct matrix converter
Keywords Active damping; Current control; Matrix converters; R
edictive control; Finite control set model predictive control; Fictitious dc-link
Publisher URL https://ieeexplore.ieee.org/document/8229699/
Related Public URLs http://chilecon2017.ubiobio.cl/
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.

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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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