Speed Control Of Five Phase Induction Motor Vector Control Using Anfis

Abstract

This thesis presents design and simulation of Adaptive Neural Fuzzy inference system of five-phase induction machine speed control drives. For the modeling purpose five phase squirrel-cage induction motor is selected. In the past years research deal efforts in the area of IM control mechanisms that concentrated on identification and observation of this highly nonlinear dynamic plant. In order to reduce the torque ripple and harmonics for smooth operation of the machine and to reduce the amount of heat generated the motor has to be supplied with five-phase supply greater than three phase supply. A five-phase five leg 10 switch inverter fed five phase star connected load operating with five different excitation is simulated and compared with that of three phase conventional inverter