DocumentCode :
117940
Title :
Artificial neural network based controller for two leg three phase induction motor
Author :
Kiran, U. Raja ; Harish, B. ; Nema, R.K. ; Jain, Sonal
Author_Institution :
Dept. of Electr. Eng., MANIT, Bhopal, India
fYear :
2014
fDate :
6-8 March 2014
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, a two leg three phase inverter with four switches are used instead of six switches for three phase inverter. Artificial neural network (ANN) based controller is used for closed loop V/f control of induction motor (IM) drive. Here ANN is a feedforward network which is trained by levenberg marquardt (LM) algorithm. The conventional drive has good steady state response and poor transient response, but developed model has good transient response. This model reduces the switching losses and size of drive, which makes it cost effective. The model simulated in MATLAB/SIMULINK and its simulation results are discussed.
Keywords :
closed loop systems; feedforward neural nets; frequency control; induction motor drives; invertors; machine control; neurocontrollers; transient response; voltage control; ANN; IM drive; LM algorithm; Levenberg Marquardt algorithm; Matlab-Simulink; artificial neural network based controller; closed loop V/f control; feedforward network; steady state response; switches; switching losses; transient response; two leg three phase induction motor; two leg three phase inverter; Artificial neural networks; Control systems; Induction motors; Inverters; Neurons; Steady-state; Torque; ANN; Feedforward network; Induction motor drive; Transient response; V/f method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Green Computing Communication and Electrical Engineering (ICGCCEE), 2014 International Conference on
Conference_Location :
Coimbatore
Type :
conf
DOI :
10.1109/ICGCCEE.2014.6922370
Filename :
6922370
Link To Document :
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