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Motor speed identification using multilayer feedforward neural networks
Author(s)
Tipsuwanporn, V.
Tarasantisuk, C.
Numsumran, A.
Sawaengsinkasikit, W.
Date Issued
December 1, 2001
Type
Conference Paper
Abstract
This paper presents an artificial neural networks (ANNs) based high performance speed identified for a dc motor control system. The purpose is to achieve accurate trajectory control of the speed, specially when motor and load parameters are unknown. The unknown nonlinear dynamics of the motor and the load are captured by multilayer feedforward neural network contains three layers. The activation function of the hidden layers are logsigmoid function and the training technique is use the backpropagation technique.
Citation
Proceedings of the International Conference on Power Electronics and Drive Systems, 1, 62-65, 2001