Direct self control of induction motor based on neural network

This paper presents an artificial neural network (ANN) of direct self control (DSC) for induction motor to decrease the time consumption of conventional DSC controller. To cope with the complex calculation of DSC, the design employs the individual training strategy with the fixed-weight and the supervised models. The simulation results of ANN DSC system have demonstrated that ANN is available to implement the DSC theory for an induction motor.

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