Abstract:

Shaded-pole induction motors are widely used in driver system requiring low power, although they have low starting torque and low efficiency. If they are provided with the possibility of increasing the starting torque and efficiency, controlling the speed and reversing the direction of the rotor then their application area will be expanded. In this study, Artificial Neural Network (ANN) based algorithm was used to estimate the speed of a shaded pole induction motor using a winding instead of the ring. In order to speed estimator, current and voltage of stator winding, current and voltage of auxiliary winding (instead of ring) and speed data that were taken from a speed sensor were used. Moreover, a method of increasing the starting torque, reversing the speed of a shaded pole induction motor replacing the short-circuited winding (ring) on the shaded-pole with a winding fed by a low voltage source through a phase shifting circuit has been presented. In addition, dynamic behavior of shaded-pole induction motor with two inputs has been analyzed and simulation and experimental results have been given

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