Hybrid intelligent controller based torque ripple minimization in switched reluctance motor drive

An inherent torque ripple characterizes switched reluctance technology from conventional technology. The ultimate aim of this paper is to reduce the motor drive using genetic neural network controller based direct scheme. In proposed appropriate bits data are chosen for training and testing. proper selection learning rate momentum will help in weight adjustment. Here error reduced which proves that voltage vectors vector table precise its results better response over a wide range speed. simulation reveal ripples vary between 3.25% 1.7% variation load experimental varies 3.7% 2.1%. Both hardware illustrate efficiency controller.