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

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.