Comparative Assessment of Model Predictive Current Control Strategies applied to Six-Phase Induction Machines

被引：7

作者：

Gonzalez, O. ^{[1
]}

Ayala, M. ^{[1
]}

Romero, C. ^{[1
]}

Rodas, J. ^{[1
]}

Gregor, R. ^{[1
]}

Delorme, L. ^{[2
]}

Gonzalez-Prieto, I. ^{[3
]}

Duran, M. J. ^{[3
]}

Rivera, M. ^{[4
]}

机构：

[1] Univ Nacl Asuncion, Lab Power & Control Syst, Luque, Paraguay

[2] Univ Cono Sur Amer, Asuncion, Paraguay

[3] Univ Malaga, Dept Elect Engn, Malaga, Spain

[4] Univ Talca, Lab Energy Convers & Power Elect, Curico, Chile

来源：

2020 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT) | 2020年

关键词：

Multiphase machines; predictive current control; six-phase induction machine; virtual vectors; TIME-DELAY ESTIMATION; SLIDING MODE; MOTOR DRIVES; DESIGN;

D O I：

10.1109/ICIT45562.2020.9067279

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：

Nowadays, model predictive current control strategy has become a viable alternative because of its fast response for high-reliability systems, such as multiphase machines. In that regard, this paper proposes a comparative assessment of four current controllers based on the model using different approaches as virtual vectors, modulation techniques and further, combining these strategies in order to deal at the same time with the regulation of the main and secondary currents components, known as (alpha-beta) and (x-y), respectively, applied to six-phase induction machines. Simulation results are presented so as to show the effectiveness of the four model predictive current controllers, taking into account the mean squared error and the total harmonic distortion of the stator currents in both steady and dynamic conditions.

引用

页码：1037 / 1043

页数：7

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