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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
DOI :
10.1109/ICMLC.2002.1176773
