Continuous Control Set Model Predictive Control for an Indirect Matrix Converter
Zhengfei Di,
Demin Xu and
Kehan Zhang
Additional contact information
Zhengfei Di: School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
Demin Xu: School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
Kehan Zhang: School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
Energies, 2021, vol. 14, issue 14, 1-19
Abstract:
A continuous control set model predictive power control strategy for an indirect matrix converter is proposed in this paper. The load reactive power, the load active power, and the input reactive power are controlled simultaneously. This control strategy can obtain output waveforms with fixed switching frequency. Additionally, an optimal switching sequence is proposed to simplify the commutations of the indirect matrix converter. To suppress the input filter resonance, an active damping method is proposed. Experimental results prove that the proposed method features controllable input reactive power, controllable load active and reactive power, fixed switching frequency output waveforms, zero-current switching operations, and effectively suppresses input filter resonance.
Keywords: indirect matrix converter; continuous control set model predictive power control; input filter resonance suppression; optimal switching strategy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1996-1073/14/14/4114/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/14/4114/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:14:p:4114-:d:590450
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().