Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
720469 | IFAC Proceedings Volumes | 2007 | 8 Pages |
Abstract
A neural-adaptive control solution is exposed in this paper. The control strategy is based on the linear adaptive neuron, which is called ADALINE. Unlike other neural control solutions, based on perceptrons neurons characterized by a long time learning process and a difficult on-line tuning of weights, this approach uses a fast algorithm, which adapts on-line the neuron's weights. Therefore the non-linear character of control law is induced by the permanent changes of neuron weights, which are variable parameters of controller. A set of study cases is done, with application to the excitation control of a synchronous generator.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Ioan Filip, Octavian Prostean, Florin Dragan, Cristian Vasar,