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