Model-Free Simplified Predictive Current Control of PMSM Drive with Ultra-Local Model-Based EKF

被引:5
|
作者
Zerdali, Emrah [1 ]
Wheeler, Patrick [2 ]
机构
[1] Ege Univ, Elect & Elect Engn Dept, Izmir, Turkey
[2] Univ Nottingham, Elect & Elect Engn Dept, Nottingham NG7 2RD, England
关键词
Model-free predictive current control; permanent magnet synchronous motor; extended Kalman filter; lumped parameter estimation;
D O I
10.1109/GPECOM52585.2021.9587527
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The importance of permanent magnet synchronous machines (PMSMs) is increasing day by day due to trends in the electrification of transportation and the use of wind farms. The predictive current control (PCC) strategy has been widely applied to the control of power converters and electrical machines over the past decade. However, parameter dependency and computational complexity are known disadvantages of the conventional PCC strategy. To deal with the weakness caused by parameter inconsistencies, model-free PCC strategy has been proposed. The simplified PCC strategies have also been applied to reduce computational complexity. In this paper, a model-free simplified PCC (MF-SPCC) strategy combined with the ultra-local model-based extended Kalman filter (EKF) has been proposed for a PMSM drive. The proposed electric drive system has been verified by simulation studies and finally robust control performance has been achieved under parameter mismatches.
引用
收藏
页码:62 / 66
页数:5
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