The Influence of Weighing Factor and Prediction Horizon on the Dynamic Performance of the Model Predictive Current Control

被引：1
|
作者：
Du, Sixun [1 ]
Chen, Liwei [1 ]
Wang, Yuanlin [2 ]
Dou, Manfeng [2 ]
机构：
[1] Zhengzhou Univ, Sch Elect Ngineering, Zhengzhou, Peoples R China
[2] Northwestern Polytech Univ, Sch Automat, Xian, Peoples R China
来源：
6TH IEEE INTERNATIONAL CONFERENCE ON PREDICTIVE CONTROL OF ELECTRICAL DRIVES AND POWER ELECTRONICS (PRECEDE 2021) | 2021年
关键词：
PMSM; weighting factor; prediction steps; MPCC; 5-PHASE PMSM; TORQUE;
D O I：
10.1109/PRECEDE51386.2021.9680917
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：
Model predictive current control (MPCC) has been widely studied due to its excellent performances. Generally, the weighting factor in the cost function is omitted, based on the consideration that the dimensions of id and iq are the same. Besides, many papers states that the number of predicted steps does not affect the dynamic performance. In this paper, the relationship between the dynamic performances of id and iq is studied, it is proved that the weighing factor affects the current dynamic performance obviously. A cost function that compares the last predicted currents with the reference currents is proposed, the dynamic performance can be improved with long horizon prediction. The influence of weighting factor and prediction steps on dynamic performance of MPCC are validated by experiments.
引用
收藏
页码：341 / 346
页数：6
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