Comparative analysis of PI & fuzzy logic controller based induction motor drive

Induction motors are widely applied in many industrial applications. In the beginning it was primarily used in continuous speed applications for the reason that orthodox techniques for their, control of speed recognize as much costlier and full of losses. The limitation of primary DC motors is presented because of brushes and commutator, hence calling for regular care and making them inappropriate for tense environments. The convenience of SCRs, MOSFETs, IGBTs, transistors and GTOs has allowed the improvement of adaptable speed IM drives. In modern control theory, there are various mathematical models that can demonstrate induction motor based on newly employed techniques. The vector controlled IM comparable to DC motors in the self-governing torque control and fluxes to grander them in their vibrant performance. To regulate the speed of IM and to get better torque response, a new fuzzy logic based controller (FLC) is presented. A fuzzy based logic controller for IM drives is employ which would give optimum performance. FLC has received greater prominence in the power electronics area because of its vast adaptability. The actual velocity of an induction motor is compared with a reference velocity. The mistake is given through (FLC), and their outputs control the focal ratio. In this project theory of PI controller and fuzzy controller and its simulation results are talked over.