Title :
Dynamic modeling, simulation & analysis of induction motor drives
Author :
Menghal, P.M. ; Laxmi, A. Jaya
Author_Institution :
Fac. of Degree Eng., Mil. Coll. of Electron. & Mech. Eng., Secunderabad, India
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 speed reference set point variations, simulation results are presented. The simulation results validates under no load, constant load as well as variable load of the proposed method and 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 :
PI control; adaptive control; angular velocity control; closed loop systems; fuzzy control; fuzzy neural nets; induction motor drives; invertors; load regulation; machine vector control; neurocontrollers; open loop systems; torque control; velocity measurement; ANN control; PI control; adaptive neurofuzzy controller; artificial intelligent controller; artificial neural network; closed loop; fuzzy controller; induction motor drive dynamic modeling; induction motor drive simulation; induction motor speed control; industrial sector; mechanical load; motor load torque; open loop; propotional integral controller; scalar control strategy; space vector modulation; speed control; speed estimation; speed measurement; speed reference set point variation; three phase induction motor drive analysis; voltage source inverter stability reduction; Artificial neural networks; Inductance; Induction motors; Mathematical model; Rotors; Stators; Torque; Adaptive Neuro-Fuzzy controller(ANFIS); Artificial Neural Network(ANN); Fuzzy Logic Controller(FLC); Propotional Integral (PI) Controller; Space Vector PWM (SPWM); Volatge Frequncy Control (V/F);
Conference_Titel :
Science Engineering and Management Research (ICSEMR), 2014 International Conference on
Print_ISBN :
978-1-4799-7614-0
DOI :
10.1109/ICSEMR.2014.7043553