IEEE-32331 International Conference on Science, Engineering and Management Research (ICSEMR 2014) 978-1-4799-7613-3/14/$31.00 ©2014 IEEE Dynamic Modeling, Simulation & Analysis of Induction Motor Drives P. M. Menghal Faculty of Degree Engineering, Military College of Electronics & Mechanical Engineering, Secunderabad, 500 015, Telangana. Research Scholar, EEE Dept., JNTU, Anantapur-515002, Andhra Pradesh, India prashant_menghal@ yahoo.co.in Dr. A. Jaya Laxmi Professor, Dept. of EEE& Coordinator Centre for Energy Studies,Jawaharlal NehruTechnological University, College of Engineering, Kukatpally, Hyderabad-500085, Telangana, India ajl1994@yahoo.co.in Abstract—The induction motor plays very important role in industrial sectors, primarily due to its robustness and lowcost. When the mechanical load is applied to induction motor which requires speed control, some of the drive and controlstrategies are based on the estimated axis speed of the motor. The speed measurement directly reduces its stability and increases the cost of drive implementation. This paper proposes an alternative methodology for estimating the speed of a three phase induction motor driven by a voltage source inverter, using space vector modulation under the scalar control strategy and based on artificial intelligent controller such as fuzzy, neural and adaptive neuro fuzzy system. To validate the performance of the proposed method under motor load torque and speedreference set point variations, simulation results are presented.The simulation results validates under no load, constant load as well as variable load of the proposed methodand confirms ability to use induction motor speed control inpractice.The dynamic modeling, simulation and analysis of induction motor using Conventional, PI, Fuzzy Controller, ANN and Adaptive neuro fuzzy controller in open loop and closed loop have been presented. Keywords-Volatge Frequncy Control (V/F), Space Vector PWM (SPWM), Propotional Integral (PI) Controller, Fuzzy Logic Controller(FLC),Artificial Neural Network(ANN), Adaptive Neuro- Fuzzy controller(ANFIS) I. NOMENCLATURE R s The stator resistance. R r The rotor resistance. L m The magnetizing inductance of the motor. L ls The stator leakage inductance. L lr The rotor leakage inductance. Ȧ r The slip frequency is the frequency of the actual rotor current. L lr The rotor leakage inductance referred to stator side. R r The rotor resistance referred to stator side. ȥ qs , ȥ ds q-axis and d-axis components of stator flux. ȥ qr , ȥ dr q-axis and d-axis components of rotor flux. i qs , i ds q-axis and d-axis components of stator current. i qr , i qr q-axis and d-axis components of rotor current. Veltech Multitech Dr.Rangarajan Dr.Sakunthala Engineering College, Avadi, Chennai (Sponsors) v qs , v ds q-axis and d-axis components of stator voltage. v qr , v qr q -axis and d-axis components of rotor voltage. p Number of poles. ș The angular position of the rotor. Ȧ a Reference frame rotating speed. J Moment of inertia (kg/m 2 ). T e Electrical torque. T l Load torque. e (k) Control error. r (k) Reference signal. y (k) Output signal. ǻ e (k) Changed error. ǻ u (Ri) The crisp ǻ u value corresponding to the maximum membership degree. II. INTRODUCTION Three phase squirrel cage induction motors play very important role in industry because of their lowcost, high efficiency, high robustness, reliability and low maintenance. Nevertheless, they do not have constant speed characteristics when mechanical loads are changed from no load to full load and do not have capability of variable speed. These short comings are resolved by using adjustable speed drives. There are many ways to control the induction motor such as scalar control, vector control and direct control etc[1-4].The scalar Volts /Hertz (V/F) control is simple control structure. It uses the stator flux and torque error to generate the stator voltage and frequency[5-8].To verify the concept of the control techniques, this paper presents dynamic modeling, simulation and analysis of induction motor drive. The three phase induction motor mathematical model was derived and simulated using MATLAB/SIMULINK. The dynamic analysis of V/F control induction motor is done using artificial intelligent controller under no, constant and variable load conditions. In this paper, AI controllers are developed for dynamic analysis of induction motor. The training data is generated via computer simulation of mathematical models of the Induction Motor and its drive, which is performedby a three-phase voltage inverter with Space Vector Pulse WidthModulation (SVPWM), applied to the scalar control[9-