DocumentCode
376446
Title
A stator resistance estimator of induction motors based on fuzzy-neural networks
Author
Chengzhi, Cao ; Xiaobo, Yang ; Zhanhong, Lu
Author_Institution
Shenyang Univ. of Technol., China
Volume
1
fYear
2001
fDate
2001
Firstpage
378
Abstract
In a direct torque control system, the stator resistance of induction motors varies with winding temperature. The variation severely influences system performance at low speed. The paper presents a stator resistance on-line estimator based on the fuzzy-neural network. The experimental result and simulation shows that the estimator can accurately measure stator resistance and efficiently improve system performance at low speed
Keywords
electric machine analysis computing; electric resistance; fuzzy neural nets; induction motors; machine control; parameter estimation; stators; torque control; direct torque control system; fuzzy-neural network; fuzzy-neural networks; induction motors; stator resistance; stator resistance estimator; stator resistance on-line estimator; winding temperature; Artificial neural networks; Couplings; Fuzzy neural networks; Fuzzy sets; Induction motors; Input variables; Stators; System performance; Temperature; Torque control;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Machines and Systems, 2001. ICEMS 2001. Proceedings of the Fifth International Conference on
Conference_Location
Shenyang
Print_ISBN
7-5062-5115-9
Type
conf
DOI
10.1109/ICEMS.2001.970691
Filename
970691
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