(1992) Inverter switching patterns using a neural network. In: IEEE Southeastcon 92.

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Abstract

The authors present a method of switching mode selection for a digital current controller using a neural network. The neural network was trained to act as a vector selector for the inverter. The desired voltage vector was calculated from parameters of the induction motor, stator currents, and electromotive force. The backpropagation technique for training neural networks was used based on input/output data obtained from previous simulation studies. The results show excellent correlation between the output of the neural vector selector and the vector selection based on analytical methods. The neural network approach was faster than the previously used analytical methods, making it possible to increase the switching frequency

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Electrical
Department:	College of Engineering and Physics > Electrical Engineering
Depositing User:	ABDELOUAHAB BENTRCIA
Date Deposited:	01 Apr 2008 07:50
Last Modified:	01 Nov 2019 13:25
URI:	http://eprints.kfupm.edu.sa/id/eprint/881