Model-Free Predictive Current Control of Doubly Fed Induction Generator

被引：2

作者：

Zhang, Yongchang ^{[1
]}

Jiang, Tao ^{[1
]}

Jiao, Jian ^{[1
]}

Xu, Wei ^{[1
]}

机构：

[1] North China Univ Technol, Inverter Technol Engn Res Ctr Beijing, Beijing, Peoples R China

来源：

2019 22ND INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2019) | 2019年

基金：

中国国家自然科学基金;

关键词：

Robustness; DFIG; MFPCC; DIRECT POWER-CONTROL; DFIG;

D O I：

10.1109/ecce44975.2020.9236427

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 proposed as a powerful control method for doubly fed induction generator (DFIG). It can achieve good steady state performance and quick response with simple structure. However, the performance of MPCC relies heavily on the accuracy of DFIG parameter. To improve the robustness of MPC against parameter variations, this paper proposes a model-free predictive current control (MFPCC) for DFIG, which only requires the information of stator currents and stator voltages. The proposed MFPCC is compared to conventional MPCC and the experimental results confirm the effectiveness of the proposed method.

引用

页码：440 / 444

页数：5

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