A Low-Complexity Optimal Switching Time-Modulated Model-Predictive Control for PMSM With Three-Level NPC Converter

被引：57
|
作者：
Wang, Qi [1 ]
Yu, Haitao [1 ]
Li, Chen [2 ]
Lang, Xiaoyu [2 ]
Yeoh, Seang Shen [2 ]
Yang, Tao [2 ]
Rivera, Marco [3 ]
Bozhko, Serhiy [2 ]
Wheeler, Patrick [2 ]
机构：
[1] Southeast Univ, Sch Elect Engn, Nanjing 210096, Peoples R China
[2] Univ Nottingham, Power Elect Machines & Control Grp, Nottingham NG7 2RD, England
[3] Univ Talca, Dept Elect Engn, Curico 3341717, Chile
来源：
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION | 2020年 / 6卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Cost function; Mathematical model; Predictive control; Switches; Switching frequency; Finite control set model-predictive control (FCS-MPC); modulated model-predictive control (M2PC); optimal switching time-M2PC (OST-M2PC); permanent magnet synchronous motor (PMSM); PWM RECTIFIER; FCS-MPC; OPERATION; IPMSM;
D O I：
10.1109/TTE.2020.3012352
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Conventional finite control set model-predictive control (FCS-MPC) presents a high computational burden, especially in three-level neutral-point-clamped (NPC) converters. This article proposes a low-complexity optimal switching time-modulated model-predictive control (OST-M2PC) method for a three-level NPC converter. In the proposed OST-M2PC method, the optimal switching time is calculated using a cost function. Compared with the conventional FCS-MPC, the proposed OST-M2PC method has a fixed switching frequency as well as better power quality. The proposed OST-M2PC can operate at a 20-kHz sampling frequency, reducing the computational burden of the processor. Simulation and experimental results validate the operation of the proposed method.
引用
收藏
页码：1188 / 1198
页数：11
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