TY - JOUR
T1 - Computation-Efficient Model Predictive Control with Common-Mode Voltage Elimination for Five-Level ANPC Converters
AU - Yang, Yong
AU - Wen, Huiqing
AU - Fan, Mingdi
AU - Xie, Menxi
AU - Peng, Simin
AU - Norambuena, Margarita
AU - Rodriguez, Jose
N1 - Funding Information:
Manuscript received February 5, 2020; revised April 11, 2020; accepted May 16, 2020. Date of publication May 22, 2020; date of current version September 18, 2020. This work was supported in part by the National Natural Science Foundation of China under Grant 51977136, Grant 51907137, and Grant 51707127, in part by the Open Research Fund of National Rail Transportation Electrification and Automation Engineering Technology Research Center under Grant NEEC-2019-B08, in part by the Research Enhancement Fund of Xi’an Jiaotong-Liverpool University (XJTLU) under Grant REF-17-01-02, in part by the XJTLU Key Programme Special Fund under Grant KSF-A-08, Grant KSF-E-13, and Grant KSF-T-04, and in part by Conicyt under Project FB0008, Project ACT192013, and Project 1170167. (Corresponding author: Huiqing Wen.) Yong Yang, Mingdi Fan, and Menxi Xie are with the School of Rail Transportation, Soochow University, Suzhou 215131, China (e-mail: [email protected]; [email protected]; [email protected]).
Publisher Copyright:
© 2015 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/9
Y1 - 2020/9
N2 - In this article, a computation-efficient model predictive control (MPC) is proposed to eliminate common-mode voltages (CMVs) of three-phase five-level active neutral-point-clamped (3P-5L-ANPC) converters. Originated from the CMV analysis of the 3P-5L-ANPC with all possible 125 possible voltage vectors, only 19 voltage vectors that generate zero CMV are adopted as the candidate voltage vectors for the MPC. The best voltage vector from the candidate voltage vectors is selected to track the current references. Then, appropriate switching combinations of the selected best voltage vector are determined to effectively balance the flying and dc-link capacitor voltages without any additional hardware components. Furthermore, the proposed MPC only chooses five candidate voltage vectors involving in MPC optimization according to the location of the reference voltage vector, which significantly alleviates the computational burden. Finally, the effectiveness of the proposed MPC in terms of the steady-state and dynamic performances is validated by simulated and experimental results.
AB - In this article, a computation-efficient model predictive control (MPC) is proposed to eliminate common-mode voltages (CMVs) of three-phase five-level active neutral-point-clamped (3P-5L-ANPC) converters. Originated from the CMV analysis of the 3P-5L-ANPC with all possible 125 possible voltage vectors, only 19 voltage vectors that generate zero CMV are adopted as the candidate voltage vectors for the MPC. The best voltage vector from the candidate voltage vectors is selected to track the current references. Then, appropriate switching combinations of the selected best voltage vector are determined to effectively balance the flying and dc-link capacitor voltages without any additional hardware components. Furthermore, the proposed MPC only chooses five candidate voltage vectors involving in MPC optimization according to the location of the reference voltage vector, which significantly alleviates the computational burden. Finally, the effectiveness of the proposed MPC in terms of the steady-state and dynamic performances is validated by simulated and experimental results.
KW - common-mode voltage (CMV)
KW - model predictive control (MPC)
KW - MPC optimization
KW - Three-phase five-level active neutral-point-clamped (3P-5L-ANPC) converters
UR - http://www.scopus.com/inward/record.url?scp=85091749959&partnerID=8YFLogxK
U2 - 10.1109/TTE.2020.2996608
DO - 10.1109/TTE.2020.2996608
M3 - Article
AN - SCOPUS:85091749959
SN - 2332-7782
VL - 6
SP - 970
EP - 984
JO - IEEE Transactions on Transportation Electrification
JF - IEEE Transactions on Transportation Electrification
IS - 3
M1 - 9098961
ER -