Title :
Dynamic simulation of induction motor drive using artificial intelligent controller
Author :
Menghal, P.M. ; Laxmi, A. Jaya ; Mukhesh, N.
Author_Institution :
EEE Dept., JNTU, Anantapur, India
fDate :
Jan. 31 2014-Feb. 2 2014
Abstract :
In 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 & 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 Modelling 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.
Keywords :
drives; fuzzy control; fuzzy logic; induction motors; machine control; neurocontrollers; AI techniques; MATLAB/SIMULINK; artificial intelligence; artificial intelligent controller; artificial neural network based controller; dynamic modelling; dynamic performance; dynamic simulation; fuzzy logic; induction motor drives; induction motor simulation; integrated environment; neuro controller; speed control; Artificial neural networks; Equations; Induction motor drives; Mathematical model; Stators; Torque; Fuzzy Logic Controller(FLC); Neuro Network(NNW); PI Controller; Sugeno Fuzzy Controller;
Conference_Titel :
Control, Instrumentation, Energy and Communication (CIEC), 2014 International Conference on
Conference_Location :
Calcutta
DOI :
10.1109/CIEC.2014.6959098
