DocumentCode :
1891415
Title :
An artificial neural network-based chopper-controlled slip-ring induction motor
Author :
Abdelfattah, M.Y. ; Ahmed, M.M.
Author_Institution :
Dept. of Electr. Eng., Alexandria Univ., Egypt
fYear :
2002
fDate :
2002
Firstpage :
142
Lastpage :
146
Abstract :
Improving starting conditions and adjusting the speed of wound-rotor induction motor can be achieved by controlling its slip energy using chopper control circuit in the rotor side. This paper presents a novel Artificial Neural Network (ANN)-based chopper-controller. which generates the appropriate chopper duty cycle for my given operating condition. An ANN model was designed for that purpose. The results obtained are satisfactory and promising. The proposed controller operates on open loop. so it does not require speed sensor. Other advantages of such controller are its simplicity and high accuracy.
Keywords :
choppers (circuits); control system analysis; control system synthesis; induction motors; machine theory; machine vector control; neurocontrollers; rotors; slip (asynchronous machines); starting; artificial neural network; chopper duty cycle; chopper-controlled slip-ring induction motor; control design; control simulation; operating condition; rotor resistance control; soft starting conditions; wound-rotor induction motor speed; Artificial neural networks; Choppers; Circuits; Electric resistance; Induction motors; Open loop systems; Power engineering and energy; Rotors; Torque; Velocity control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrotechnical Conference, 2002. MELECON 2002. 11th Mediterranean
Print_ISBN :
0-7803-7527-0
Type :
conf
DOI :
10.1109/MELECON.2002.1014547
Filename :
1014547
Link To Document :
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