Abstract
AbstractIn industries, more than 85 % of the motors are Induction Motors, because of the low maintenance and robustness. Maximum torque and efficiency is obtained by the speed control of induction motor. Using Artificial Intelligence (AI) techniques, particularly the neural networks, performance and operation of induction motor drives is improved. This paper presents dynamic simulation of induction motor drive using neuro controller. The integrated environment allows users to compare simulation results between conventional, Fuzzy and Neural Network controller (NNW). The performance of fuzzy logic and artificial neural network based controller’s are compared with that of the conventional proportional integral controller. The dynamic modeling and simulation of Induction motor is done using MATLAB/SIMULINK and the dynamic performance of induction motor drive has been analyzed for artificial intelligent controller.KeywordsNeuro network (NNW)PI controllerFuzzy logic controller (FLC)Sugeno fuzzy controllerHebbian learning algorithm
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