DocumentCode
1134894
Title
Standstill Parameter Identification of Vector-Controlled Induction Motors Using the Frequency Characteristics of Rotor Bars
Author
Kwon, Young-Su ; Lee, Jeong-Hum ; Moon, Sang-Ho ; Kwon, Byung-Ki ; Choi, Chang-Ho ; Seok, Jul-Ki
Author_Institution
Autom. R&D Center, LS Ind. Syst. Co., Ltd., Cheonan, South Korea
Volume
45
Issue
5
fYear
2009
Firstpage
1610
Lastpage
1618
Abstract
We propose a current injection-based estimator to identify accurately standstill induction motor (IM) parameters necessary for vector control. A mathematical model that faithfully represents the general deep bar effect is introduced. Then, two exciting signals with a different frequency are sequentially injected to track the parameters based on the frequency function of the rotor bar. The proposed methodology employs closed-loop control of an injected current due to little knowledge of the unknown motor, rather than the open-loop voltage injection approaches commonly used in sensorless control schemes. Subsequently, this control scheme proactively prevents electrical accidents resulting from inadequate open-loop voltage injection. Our developed specialized offline commissioning test compensates for the phase delay resulting from the drive, which significantly affects estimation precision. The effectiveness of the identification technique is validated by means of experiments performed on three different IMs.
Keywords
closed loop systems; induction motors; machine vector control; open loop systems; parameter estimation; closed-loop control; current injection-based estimator; frequency characteristics; frequency function; mathematical model; open-loop voltage injection; phase delay; rotor bar; sensorless control schemes; standstill induction motor parameter; standstill parameter identification; vector control; vector-controlled induction motor; Closed-loop control of an injected current; frequency function of the rotor bar; standstill induction motor (IM) parameter identification; vector control;
fLanguage
English
Journal_Title
Industry Applications, IEEE Transactions on
Publisher
ieee
ISSN
0093-9994
Type
jour
DOI
10.1109/TIA.2009.2027164
Filename
5165042
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