An Optimized Model Predictive Control for Three-Phase Four-Level Hybrid-Clamped Converters

An optimized model predictive control (MPC) method is proposed based on the selected switching states to control the four-level hybrid-clamped converter. The proposed method utilizes 64, instead of 512, switching states, compared with a conventional MPC, which greatly eases the calculation burden wh...

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Bibliographic Details
Published in:IEEE transactions on power electronics Vol. 35; no. 6; pp. 6470 - 6481
Main Authors: Yang, Yong, Pan, Jianyu, Wen, Huiqing, Na, Risha, Wang, Hongyu, Zhang, Zhiwei, Ke, Ziwei, Xu, Longya
Format: Journal Article
Language:English
Published: New York IEEE 01-06-2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Summary:An optimized model predictive control (MPC) method is proposed based on the selected switching states to control the four-level hybrid-clamped converter. The proposed method utilizes 64, instead of 512, switching states, compared with a conventional MPC, which greatly eases the calculation burden while achieving the high-quality regulation of output currents and the balance of capacitor voltages. The steady-state performance at both high and low frequencies is investigated, and results are compared with those by the traditional carrier phase-shifted pulsewidth modulation method. The dynamic response to the current or frequency step change is also evaluated. Both simulation and experimental results validate the feasibility and effectiveness of the optimized MPC method.
ISSN:0885-8993
1941-0107
DOI:10.1109/TPEL.2019.2951032