Weighting-Factorless Sequential Model Predictive Torque Control of a Six-Phase AC Machine

被引：3

作者：

Rodas, Jorge ^{[1
]}

Gonzalez, Osvaldo ^{[1
]}

Norambuena, Margarita ^{[2
]}

Doval-Gandoy, Jesus ^{[3
]}

Gomis-Bellmunt, Oriol ^{[4
]}

Gregor, Raul ^{[1
]}

Ayala, Magno ^{[1
]}

Rodriguez, Jose ^{[5
]}

Romero, Carlos ^{[1
]}

机构：

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

[2] Univ Tecn Federico Santa Maria, Dept Elect Engn, Valparaiso, Chile

[3] Univ Vigo, Appl Power Elect Technol Res Grp, Vigo, Spain

[4] Univ Politecn Cataluna, CITCEA, Barcelona, Spain

[5] Univ San Sebastian, Fac Engn, Santiago, Chile

来源：

2023 IEEE CONFERENCE ON POWER ELECTRONICS AND RENEWABLE ENERGY, CPERE | 2023年

关键词：

Induction machine; model predictive control; predictive torque control; six-phase machine; speed control; weighting factor; LATEST ADVANCES; FLUX CONTROL; DRIVES; MOTOR;

D O I：

10.1109/CPERE56564.2023.10119622

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Model predictive control is an exciting control technique that has been applied successfully to multiphase induction machines. The possibility to include several constraints by using only the cost function is one of its main attractive characteristics. However, this latter implies the nontrivial task of adequately tuning the weighting factors to fulfil multiple control objectives properly. This paper proposes a sequential model predictive torque control of a six-phase induction machine that avoids using the weighting factor. Simulation studies are provided to show the effectiveness of this proposal showing good reference tracking of the torque, flux and stator alpha - ss and x - y currents.

引用

页数：5

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