IJREE – Volume 3 Issue 4 Paper 6


Author’s Name :  Nandini P | Vaikundaselvan B | Venupriya S R

Volume 03 Issue 04  Year 2016  ISSN No: 2349-2503  Page no: 31-36



Induction motors are commonly used in industries due to low maintenance and robustness. By controlling the speed of Induction motor maximum efficiency and torque can be obtained. Using artificial intelligence particularly Fuzzy and Neural Networks, Induction motor performance can be improved. This paper presents dynamic speed control of induction motor drive using ANFIS. The integrated solution allows the user to compare the Neural Network and ANFIS technique. By using ANFIS the applied voltage frequency is controlled and thus the speed of the Induction motor is controlled to the required value. Rise time of the motor is decreased and pick –up speed is increased. By this the performance of the Induction motor is increased. The dynamic modelling and simulation of induction motor has been done using MATLAB/SIMULINK and the Induction motor drive performance has been analyzed for Artificial Intelligence controller.


Neuro Network(NNW), ANFIS Controller, Induction Motor, Fuzzy Logic


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