DocumentCode
3139928
Title
An application of fuzzy-inference-based neural network in DTC system of induction motor
Author
Cao, Cheng-Zhi ; Li, Hai-ping
Author_Institution
Shenyang Univ. of Technol., China
Volume
1
fYear
2002
fDate
2002
Firstpage
354
Abstract
A fuzzy-inference-based neural network (FNN) is presented, which is applied to speed identification in a direct torque control (DTC) system. The proposed scheme uses a fuzzy inference system to verify the learning coefficient and the momentum term in the neural network. To test this approach, simulation results are shown after detailed illustration of it.
Keywords
fuzzy logic; fuzzy neural nets; induction motors; inference mechanisms; learning (artificial intelligence); machine control; neurocontrollers; parameter estimation; torque control; velocity control; direct torque control system; fuzzy-inference-based neural network; induction motor; learning coefficient; momentum term; speed identification; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Induction motors; Intelligent networks; Mathematical model; Neural networks; Stators; Torque control; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN
0-7803-7508-4
Type
conf
DOI
10.1109/ICMLC.2002.1176773
Filename
1176773
Link To Document