TY - JOUR
T1 - Model Predictive Current Control of a Seven-Level Inverter with Reduced Computational Burden
AU - Bahrami, Ahoora
AU - Norambuena, Margarita
AU - Narimani, Mehdi
AU - Rodriguez, Jose
N1 - Funding Information:
Manuscript received April 7, 2019; revised July 24, 2019 and September 17, 2019; accepted October 31, 2019. Date of publication November 10, 2019; date of current version February 20, 2020. This work was supported in part by the Natural Sciences and Engineering Research Council Canada, in part by CONICYT under Grant Basal Project FB0008: Advanced Center for Electrical and Electronic Engineering, and in part by FONDECYT under Grant 1170167 and Grant 11180233. Recommended for publication by Associate Editor F. Gao. (Corresponding author: Ahoora Bahrami.) A. Bahrami and M. Narimani are with the Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada (e-mail: [email protected]; [email protected]).
Publisher Copyright:
© 1986-2012 IEEE.
PY - 2020/6
Y1 - 2020/6
N2 - Multilevel topologies gained considerable attention in medium-voltage high-power applications due to their advantages over classic two-level inverters, such as lower loss, higher power quality, and eliminating interface transformers. Moreover, vast research has been done in order to improve the control of the power converters to achieve more efficient and simple controllers. Model predictive control (MPC) is one of the control techniques that has been widely used in power electronics recently due to its advantages, such as fast dynamic response, no need for PI regulators and pulsewidth modulation blocks, and capability of nonlinearity inclusion. On the other hand, the high number of calculations especially for higher level topologies is the disadvantage of this approach. This article presents a new finite control set MPC (FCS-MPC) approach for a seven-level topology. This approach reduces the number of calculations significantly compared to conventional FCS-MPC. Applying the computational efficient FCS-MPC to control the output current and flying capacitors voltages' of the seven-level topology reduces the number of calculations from 123 to 36, whereas the execution time is reduced six times. Moreover, simulation and experimental results have been shown to demonstrate the performance and feasibility of the developed control method applied to a seven-level topology.
AB - Multilevel topologies gained considerable attention in medium-voltage high-power applications due to their advantages over classic two-level inverters, such as lower loss, higher power quality, and eliminating interface transformers. Moreover, vast research has been done in order to improve the control of the power converters to achieve more efficient and simple controllers. Model predictive control (MPC) is one of the control techniques that has been widely used in power electronics recently due to its advantages, such as fast dynamic response, no need for PI regulators and pulsewidth modulation blocks, and capability of nonlinearity inclusion. On the other hand, the high number of calculations especially for higher level topologies is the disadvantage of this approach. This article presents a new finite control set MPC (FCS-MPC) approach for a seven-level topology. This approach reduces the number of calculations significantly compared to conventional FCS-MPC. Applying the computational efficient FCS-MPC to control the output current and flying capacitors voltages' of the seven-level topology reduces the number of calculations from 123 to 36, whereas the execution time is reduced six times. Moreover, simulation and experimental results have been shown to demonstrate the performance and feasibility of the developed control method applied to a seven-level topology.
KW - Current control
KW - high power converters
KW - model predictive control
KW - multilevel inverters
KW - voltage balancing
UR - http://www.scopus.com/inward/record.url?scp=85080910066&partnerID=8YFLogxK
U2 - 10.1109/TPEL.2019.2952533
DO - 10.1109/TPEL.2019.2952533
M3 - Article
AN - SCOPUS:85080910066
SN - 0885-8993
VL - 35
SP - 5729
EP - 5740
JO - IEEE Transactions on Power Electronics
JF - IEEE Transactions on Power Electronics
IS - 6
M1 - 8894841
ER -