Observer-Based Online Parameter Estimation of Squirrel-Cage Induction Machines Based on the Gradient Descent Method

被引：0
|
作者：
Koupeny, J. [1 ]
Luecke, S. [1 ]
Mertens, A. [1 ]
机构：
[1] Leibniz Univ Hannover, Inst Dr Syst & Power Elect, D-30167 Hannover, Germany
来源：
2015 17TH EUROPEAN CONFERENCE ON POWER ELECTRONICS AND APPLICATIONS (EPE'15 ECCE-EUROPE) | 2015年
关键词：
estimation technique; induction motor; intelligent drive;
D O I：
暂无
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：
This paper deals with the online parameter estimation of squirrel-cage induction machines using the Gradient Descent Method and coupled stator and rotor flux observers. Stator resistance, rotor resistance and mutual inductance can be estimated in real time. The presented approach is applicable on a standard industrial drive, including a current measurement and a motor speed feedback. The adaptation algorithm is described with simple analytical terms. The performance has been demonstrated by experiments. Furthermore, the influence of an asymmetrical stator winding, saturation and incorrectly assumed leakage inductances are discussed.
引用
收藏
页数：10
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