Title :
A neural control of power factor preregulators
Author :
Simonetti, D.S.L. ; Bevilacqua, G. ; Mejía, P. ; Uceda, J.
Author_Institution :
Div. de Ingenieria Electron., Univ. Politecnica de Madrid, Spain
Abstract :
Application of artificial neural networks (ANN) in power factor preregulators (PFP) control is investigated. Both continuous conduction mode (CCM) and discontinuous conduction mode (DCM) converters are analyzed. At present the system gives good results for DCM in both static and dynamic conditions. For CCM good results are being obtained for static conditions. Simulation results indicate that the approach is viable and represents an alternative novel technique in PFP control
Keywords :
neural nets; power control; power convertors; power factor correction; artificial neural networks; continuous conduction mode; discontinuous conduction mode; dynamic conditions; neural control; power converters; power factor preregulators; static conditions; Artificial neural networks; Circuits; Degradation; Low pass filters; Mathematical model; Neural networks; Neurons; Pulse width modulation; Reactive power; Voltage control;
Conference_Titel :
Industrial Electronics, Control, and Instrumentation, 1993. Proceedings of the IECON '93., International Conference on
Conference_Location :
Maui, HI
Print_ISBN :
0-7803-0891-3
DOI :
10.1109/IECON.1993.339143
