DIRECT ADAPTIVE REGULATION USING DYNAMIC NEURAL NETWORKS - APPLICATION TO DE MOTORS SPEED CONTROL

Authors
ROVITHAKIS GA CHRISTODOULOU MA
Citation
Ga. Rovithakis et Ma. Christodoulou, DIRECT ADAPTIVE REGULATION USING DYNAMIC NEURAL NETWORKS - APPLICATION TO DE MOTORS SPEED CONTROL, Mathematics and computers in simulation, 41(1-2), 1996, pp. 53-62
Citations number
26
Categorie Soggetti
Computer Sciences",Mathematics,"Computer Science Interdisciplinary Applications","Computer Science Software Graphycs Programming
Journal title
Mathematics and computers in simulation → ACNP
ISSN journal
03784754
Volume
41
Issue
1-2
Year of publication
1996
Pages
53 - 62
Database
ISI
SICI code
0378-4754(1996)41:1-2<53:DARUDN>2.0.ZU;2-2
Abstract
A direct nonlinear adaptive state regulator is derived, based on dynam ic neural networks, and it is successfully applied to control the spee d of a nonlinearized de motor. One interesting feature of the proposed control algorithm is that it covers the situation where the magnetic flux continuously varies, as it is the case in the loss minimization p roblem.