DocumentCode :
3231473
Title :
Artificial neural network based voltage controller for energy efficient induction motor drive
Author :
Sundareswaran, K. ; Palani, S.
Author_Institution :
Regional Eng. Coll., Tiruchirappalli, India
Volume :
2
fYear :
1998
fDate :
1998
Firstpage :
410
Abstract :
A loaded induction motor is generally obtained using a search technique which involves more time and the machine is subjected to many step changes of voltage which is undesirable. This paper presents two novel techniques for energy efficient operation of a voltage controlled induction motor drive using artificial neural networks (ANN). In the proposed methods, the time required to converge to the best efficiency point of the drive is minimum and the machine is subjected to a maximum of two step changes of voltage, irrespective of load. The backpropagation neural network is trained off-line to identify the optimal efficiency point of the motor in the entire operating range with a no priori knowledge of the machine parameters
Keywords :
backpropagation; induction motor drives; machine control; neurocontrollers; voltage control; artificial neural network; backpropagation neural network; best efficiency point; energy efficient induction motor drive; loaded induction motor; optimal efficiency point identification; search technique; voltage controller; Artificial neural networks; Energy consumption; Energy efficiency; Induction motor drives; Induction motors; Neural networks; Power engineering and energy; Stators; Steady-state; Voltage control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON '98. 1998 IEEE Region 10 International Conference on Global Connectivity in Energy, Computer, Communication and Control
Conference_Location :
New Delhi
Print_ISBN :
0-7803-4886-9
Type :
conf
DOI :
10.1109/TENCON.1998.798199
Filename :
798199
Link To Document :
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