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
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;
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
DOI :
10.1109/ICEMS.2001.970691
