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Predictive current control for indirect matrix converter with reduced current ripple
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Publication Year
2020-03-01
Publisher
Springer
Citation
Journal of Power Electronics, Vol.20, pp.443-454
Keyword
Current ripple reductionIndirect matrix converterPredictive current controlSplit switching vector
Mesh Keyword
Computation complexityCost-function optimizationCurrent-ripple reductionIndirect matrix converterIndirect matrix converter (IMC)Modulation techniquesPredictive current controlSwitching vector
All Science Classification Codes (ASJC)
Control and Systems EngineeringElectrical and Electronic Engineering
Abstract
The predictive current control (PCC) for an indirect matrix converter (IMC) with reduced current ripple is presented in this study. In the proposed PCC scheme, an IMC drives a load applying a split switching vector, which is used as a candidate vector of the cost function. The cost function of the proposed PCC includes a reference state and a predicted state. With the two states, the optimal output vector can be selected from the split switching vectors, thus alleviating the current ripples on both the grid side and the load side of the IMC. However, the use of the split switching vector increases the computation complexity of the cost function optimization because the number of predicted states is increased by the split switching vectors. Hence, the computation complexity reduction method in a deadbeat fashion is proposed for the simple implementation of the proposed PCC on a digital signal processor. In addition, the unity power factor on the grid side is guaranteed by a straightforward modulation technique when the maximum voltage is transferred. The performance of the proposed PCC for the IMC is verified by simulation and experimental results.
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/31162
DOI
https://doi.org/10.1007/s43236-020-00048-0
Fulltext

Type
Article
Funding
This research was supported by Korea Electric Power Corporation (Grant No. R19XO01-20) and the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT for First-Mover Program for Accelerating Disruptive Technology Development (Grant No. 2018M3C1B9088457).
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 Lee, Kyo-Beum Image
Lee, Kyo-Beum이교범
Department of Electrical and Computer Engineering
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