Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/141581
Title: Cell-by-cell-based finite-control-set model predictive control for a single-phase cascaded H-bridge rectifier
Authors: Qi, Chen
Chen, Xiyou
Tu, Pengfei
Wang, Peng
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2017
Source: Qi, C., Chen, X., Tu, P., & Wang, P. (2018). Cell-by-cell-based finite-control-set model predictive control for a single-phase cascaded H-bridge rectifier. IEEE Transactions on Power Electronics, 33(2), 1654-1665. doi:10.1109/TPEL.2017.2677500
Journal: IEEE Transactions on Power Electronics
Abstract: The traditional finite-control-set model predictive control (FCS-MPC) method for a cascaded H-bridge (CHB) rectifier has two main issues: heavy computational burden and low steady-state current performance. In this paper, a novel FCS-MPC method has been proposed for a single-phase CHB rectifier. The proposed method solves the optimization problem of FCS-MPC for one cell by one cell, like a "pipeline." In the proposed method, the sampling period is divided into equal intervals by the number of cells. At the beginning of the first interval, the first cell selects its switching state to be applied. Then, the following cell selects its switching state to be applied at the beginning of next interval. Finally, the selected switching state of last cell will be applied at the beginning of the last interval. A cost function presenting the control objectives of common source current error and itself dc-link voltage error is evaluated for each cell. A single-phase three-cell CHB rectifier controlled by a DSpace DS1104 is tested and the experimental results show that a significant reduction in computational time, an improved steady-state current performance, and a comparable dynamic response are achieved in the proposed method in comparison with the traditional FCS-MPC method.
URI: https://hdl.handle.net/10356/141581
ISSN: 0885-8993
DOI: 10.1109/TPEL.2017.2677500
Schools: School of Electrical and Electronic Engineering 
Rights: © 2017 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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