Extended Observer-Based Simultaneous Online Parameter Estimation of Inverter-Fed Squirrel-Cage Induction Machines Considering the Influence of Current and Speed Measurement Errors

被引：0
|
作者：
Koupeny, J. [1 ]
Luecke, S. [1 ]
Mertens, A. [1 ]
机构：
[1] Leibniz Univ Hannover, Inst Drive Syst & Power Elect, Hannover, Germany
来源：
2016 18TH EUROPEAN CONFERENCE ON POWER ELECTRONICS AND APPLICATIONS (EPE'16 ECCE EUROPE) | 2016年
关键词：
Estimation technique; Induction motor; Intelligent drive; VECTOR CONTROL; IDENTIFICATION; MOTORS; STATOR; FLUX;
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：
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 simultaneously in real time. For a non-ambiguous parameter tracking, an additional voltage is superimposed. The influence of inverter nonlinearity, currcnt and speed measurement crrors is investigated. The presented approach is applicable to a standard industrial drive, including current measurement and motor speed feedback. The concept is verified by experimental tests for open loop V/f control as well as for field-oriented control.
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页数：10
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