Título: Voltage Tracking of a DC-DC Flyback Converter Using Neural Network Control
Autores: Utomo, Wahyu Mulyo; Department of Electrical Engineering, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia.
Yi, Sim Sy; Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Malays
Buswig, Yonis M.Y.; Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Malays
Bakar, Afarul Abu; Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Malays
Ahmad, Md Zarafi; Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Malays
Fecha: 2012-01-06
Publicador: International journal of power electronics and drive systems
Fuente:
Tipo: info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Tema: No aplica
Descripción: This paper proposes a neural network control scheme of a DC-DC Flyback converter that will step up a 12V DC and applied it on brushless DC motor with 12 and 24V dc. In this technique, a back propagation learning algorithm is derived. The controller is designed to track the output voltage of the DC-DC converter and to improve performance of the Flyback converter during transient operations. Furthermore, to investigate the effectiveness of the proposed controller, some operations such as starting-up and reference voltage variations are verified. The numerical simulation results show that the proposed controller has a better performance compare to the conventional PI-Controller method.
Idioma: Inglés

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