An Improved Implicit Model Predictive Current Control With Continuous Control Set for PMSM Drives

被引：49

作者：

Jiang, Xin ^{[1
]}

Yang, Yong ^{[1
]}

Fan, Mingdi ^{[1
]}

Ji, Aiming ^{[1
]}

Xiao, Yang ^{[1
]}

Zhang, Xinan ^{[2
]}

Zhang, Wei ^{[1
]}

Garcia, Cristian ^{[3
]}

Vazquez, Sergio ^{[4
]}

Rodriguez, Jose ^{[5
]}

机构：

[1] Soochow Univ, Sch Rail Transportat, Suzhou 215131, Peoples R China

[2] Univ Western Australia, Dept Elect Elect & Comp Engn, Perth, WA 6009, Australia

[3] Univ Talca, Fac Engn, Curico 3340000, Chile

[4] Univ Seville, Dept Elect Engn, Seville 41092, Spain

[5] Univ Andres Bello, Dept Engn Sci, Santiago 8370146, Chile

来源：

IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION | 2022年 / 8卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Mathematical models; Predictive models; Transportation; Predictive control; Cost function; Robustness; Motor drives; Continuous control set (CCS); model predictive control (MPC); parameter mismatch; permanent magnet synchronous motor (PMSM); quadratic program; FINITE-CONTROL-SET; TORQUE CONTROL; SPEED; PWM; ALGORITHM; INVERTER; SCHEMES; MOTORS; MPC;

D O I：

10.1109/TTE.2022.3144667

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 proposes an improved implicit model predictive current control (IMPCC) method for permanent magnet synchronous motor (PMSM) drives. Compared to the conventional implicit MPC, the proposed IMPCC has a much lower computational burden and thus is suitable for real-time applications. Two-step optimization is employed in this method to minimize the cost function based on continuous control set (CCS) while respecting the constraints. Furthermore, the proposed IMPCC uses an incremental model that eliminates the permanent magnet flux linkage. Its strong parameter robustness against stator resistance and inductance variations is also theoretically analyzed. Experimental results are presented to show the superior performance of the proposed IMPCC.

引用

页码：2444 / 2455

页数：12

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