Latest Advances of Model Predictive Control in Electrical Drives-Part II: Applications and Benchmarking With Classical Control Methods

被引：167

作者：

Rodriguez, Jose ^{[1
]}

Garcia, Cristian ^{[2
]}

Mora, Andres ^{[3
]}

Davari, S. Alireza ^{[4
]}

Rodas, Jorge ^{[5
]}

Valencia, Diego Fernando ^{[6
]}

Elmorshedy, Mahmoud ^{[7
]}

Wang, Fengxiang ^{[8
]}

Zuo, Kunkun ^{[8
,9
]}

Tarisciotti, Luca ^{[1
]}

Flores-Bahamonde, Freddy ^{[1
]}

Xu, Wei ^{[10
]}

Zhang, Zhenbin ^{[11
]}

Zhang, Yongchang ^{[12
]}

Norambuena, Margarita ^{[3
]}

Emadi, Ali ^{[6
]}

Geyer, Tobias ^{[13
]}

Kennel, Ralph ^{[9
]}

Dragicevic, Tomislav ^{[14
]}

Khaburi, Davood Arab ^{[15
]}

Zhang, Zhen ^{[16
]}

Abdelrahem, Mohamed ^{[9
,17
]}

Mijatovic, Nenad ^{[14
]}

机构：

[1] Univ Andres Bello, Dept Engn Sci, Santiago 30332, Chile

[2] Univ Talca, Dept Elect Engn, Curico 3340000, Chile

[3] Univ Tecn Federico Santa Maria, Dept Elect Engn, Valparaiso 30332, Chile

[4] Shahid Rajaee Teacher Training Univ, Fac Elect Engn, Tehran 1678815811, Iran

[5] Univ Nacl Asuncion, Fac Ingn, Lab Power & Control Syst, San Lorenzo 2160, Paraguay

[6] McMaster Univ, McMaster Automot Resource Ctr MARC, Hamilton, ON L8P 0A6, Canada

[7] Tanta Univ, Dept Elect Power & Machines Engn, Fac Engn, Tanta 31521, Egypt

[8] Chinese Acad Sci, Quanzhou Inst Equipment Mfg, HaixiInstitutes, Jinjiang 362200, Peoples R China

[9] Tech Univ Munich, Inst Elect Dr Syst & Power Elect, D-80333 Munich, Germany

[10] Huazhong Univ Sci & Technol, Sch Elect & Elect Engn, State Key Lab Adv Elect Engn & Technol, Wuhan 430074, Peoples R China

[11] Shandong Univ, Sch Elect Engn, Jinan 250061, Peoples R China

[12] North China Elect Power Univ, Sch Elect & Elect Engn, Beijing 102206, Peoples R China

[13] ABB Syst Drives, CH-5300 Turgi, Switzerland

[14] Tech Univ Denmark, Dept Elect Engn, DK-2800 Lyngby, Denmark

[15] Iran Univ Sci & Technol, Dept Elect Engn, Tehran 1311416846, Iran

[16] Tianjin Univ, Sch Elect & Informat Engn, Tianjin 300072, Peoples R China

[17] Assiut Univ, Fac Engn, Dept Elect Engn, Assiut 71516, Egypt

来源：

IEEE TRANSACTIONS ON POWER ELECTRONICS | 2022年 / 37卷 / 05期

基金：

澳大利亚研究理事会;

关键词：

Predictive control; Induction motors; Control systems; Predictive models; Torque; Robustness; Inverters; Electric machine; predictive control; variable speed drives; INDUCTION-MOTOR DRIVE; PULSE PATTERN CONTROL; DIRECT TORQUE CONTROL; CONTROL STRATEGY; THRUST CONTROL; MACHINES; VOLTAGE; REDUCTION; CONSTRAINTS; PERFORMANCE;

D O I：

10.1109/TPEL.2021.3121589

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：

This article presents the application of model predictive control (MPC) in high-performance drives. A wide variety of machines have been considered: Induction machines, synchronous machines, linear motors, switched reluctance motors, and multiphase machines. The control of these machines has been done by introducing minor and easy-to-understand modifications to the basic predictive control concept, showing the high flexibility and simplicity of the strategy. The second part of the article is dedicated to the performance comparison of MPC with classical control techniques such as field-oriented control and direct torque control. The comparison considers the dynamic behavior of the drive and steady-state performance metrics, such as inverter losses, current distortion in the motor, and acoustic noise. The main conclusion is that MPC is very competitive concerning classic control methods by reducing the inverter losses and the current distortion with comparable acoustic noise.

引用

页码：5047 / 5061

页数：15

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