Implicit Model Predictive Control with Continuous Control Set of PMSM Drive Systems

被引：3
|
作者：
Jiang, Xin [1 ]
Xie, Menxi [1 ]
Ji, Aiming [1 ]
Yang, Yong [1 ]
Fan, Mingdi [1 ]
Chen, Rong [1 ]
机构：
[1] Soochow Univ, Sch Rail Transportat, Suzhou, Peoples R China
来源：
2020 IEEE 9TH INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE (IPEMC2020-ECCE ASIA) | 2020年
关键词：
Permanent Magnet Synchronous Motor; Model Predictive Control; Continuous Control Set; Optimal Problem; Quadratic Program;
D O I：
10.1109/IPEMC-ECCEAsia48364.2020.9368116
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：
In this paper, a predictive speed controller based on continuous control set model predictive control (CCS-MPC) is developed for permanent magnet synchronous motor (PMSM) driver. The controller overcomes limitations of cascaded speed loop and current loop. To minimize the cost function, the conventional implicit CCS-MPC requires complex algorithms to solve the quadratic program. This controller obtains the optimization modulation reference for PWM that can be easily implemented for the PMSM drive systems. In the simulation study, the proposed controller achieves excellent dynamic and steady-state performance.
引用
收藏
页码：185 / 190
页数：6
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