A finite control set model predictive control method for matrix converter with zero common-mode voltage

Wang, Lina, Dan, Hanbing, Zhao, Yue, Zhu, Qi, Peng, Tao, Sun, Yao and Wheeler, Patrick (2018) A finite control set model predictive control method for matrix converter with zero common-mode voltage. IEEE Journal of Emerging and Selected Topics in Power Electronics, 6 (1). pp. 327-338. ISSN 2168-6785

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Abstract

In this paper a finite control set model predictive control method is presented that eliminates the common-mode voltage at the output of a matrix converter. In the predictive control process only the rotating vectors are selected to generate the output voltage and the input current in order to remove the common mode voltage. In addition, a modified four-step commutation strategy is proposed to eliminate common-mode voltage spikes caused by the conventional four-step commutation strategy based on the current direction. The proposed method reduces the computational complexity greatly compared with the enhanced space vector modulation with rotating vectors. The feasibility and operation of the proposed method are verified using experimental results. The resulting common-mode voltage is near to zero with good quality input and output converter waveforms.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/962493
Additional Information: ©2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works.
Keywords: Common-mode voltage, Finite control set model predictive control, Matrix converters
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
Identification Number: 10.1109/JESTPE.2017.2727501
Depositing User: Burns, Rebecca
Date Deposited: 11 Oct 2017 08:13
Last Modified: 04 May 2020 19:52
URI: https://eprints.nottingham.ac.uk/id/eprint/47136

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