TITLE:
Intelligence Based Soft Starting Scheme for the Three Phase Squirrel Cage Induction Motor with Extinction Angle AC Voltage Controller
AUTHORS:
A. A. Mohamed Faizal, P. Subburaj
KEYWORDS:
Semiconductor, Artificial Neural Network, Fuzzy Logic Control, Three Phase Squirrel Cage Induction Motor
JOURNAL NAME:
Circuits and Systems,
Vol.7 No.9,
July
29,
2016
ABSTRACT: Whenever a squirrel cage
induction motor is started, notable electromechanical torque and current
pulsations occur. The adverse effects of starting torque pulsations and high
inrush current in induction motor are eliminated using digital power electronic
soft starting schemes that guarantee higher degrees of compliance of the
requirements of an ideal soft starter for the induction motor. Soft starters are
cheap, simple, reliable and occupy less volume. In this paper, an experimental
setup of soft starting technique with extinction angle AC voltage controller
and a speed and stator current based closed loop scheme is demonstrated using
Artificial Neural Network (ANN) and Fuzzy Logic Control (FLC) by the way of
MATLAB/SIMULINK based simulation. The ANN based soft starting scheme produces
best results in terms of smooth starting torque and least inrush current. The
results thus obtained were satisfactory and promising.