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An application of fuzzy-inference-based neural network in DTC system of induction motor

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2 Author(s)
Cheng-Zhi Cao ; Shenyang Univ. of Technol., China ; Hai-Ping Li

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.

Published in:

Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on  (Volume:1 )

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