A Robust Model-Free Predictive Current Control of Induction Motor Drives

被引：0
|
作者：
Zhang, Yongchang [1 ]
Wang, Xing [1 ]
Zhang, Boyue [1 ]
Yang, Haitao [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：
The ultra-local model; MFPCC; IM;
D O I：
暂无
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 control (MPC) can achieve high performance control of induction motor (IM) drives by selecting the optimal voltage vector. However, a large number of motor parameters are used in the control algorithm. Therefore, the performance of MPC is highly dependent on the accuracy of the motor parameters which means that dynamic and steady-state performance will be affected when the motor parameters are not accurately set in the controller. This paper proposes a model-free predictive current control (MFPCC) based on the ultra-local model. The whole controller only needs system input and output data without motor parameters. When motor parameters deviate from their nominal values, the satisfactory control performance can still be obtained. The experimental results confirm the effectiveness of the proposed method.
引用
收藏
页码：603 / 607
页数：5
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