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Original scientific paper

https://doi.org/10.7305/automatika.53-3.126

Magnetization Curve Identification of Vector-Controlled Induction Motor at Low-Load Conditions

Božo Terzić ; Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Ruđera Boškovića 32, HR-21000 Split, Croatia
Marin Despalatović orcid id orcid.org/0000-0001-8867-0380 ; Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Ruđera Boškovića 32, HR-21000 Split, Croatia
Alojz Slutej ; ABB AB, Crane Systems - Division Process Automation, Tvärleden 2, SE-72159 Västerås, Sweden


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Abstract

In many drives the induction motor torque is transferred to the load through complex mechanical connections which produce an initial load. In such cases, to identify the magnetization curve by the no-load test it is necessary to decouple the motor from the transfer gear what is expensively and time-consuming. In an attempt to avoid the motor mechanical decoupling in the case of hoist crane systems, in this paper a method is proposed for the magnetization curve identification of the indirect rotor flux oriented (IRFO) induction machine at low-load conditions. Two flux controllers with estimated feedback quantities are added to the basic structure of the IRFO control drive. One of these controllers is used to control desired operating point on the magnetization curve and the other for on-line adaption of the reference frame position. The proposed algorithm is implemented in a commercial drive as a part of the self-commissioning module. Afterward, the magnetization curve of the 22 kW induction motor was identified and compared with the one obtained by the no-load test. The method sensitivity to the load torque and the transient inductance has also been considered.

Keywords

Induction motors; Magnetization curve; Parameter estimation; Vector control

Hrčak ID:

89247

URI

https://hrcak.srce.hr/89247

Publication date:

20.8.2012.

Article data in other languages: croatian

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