Voltage Tracking of a DC-DC Flyback Converter Using Neural Network Control

Wahyu Mulyo Utomo, Sim Sy Yi, Yonis M.Y. Buswig, Afarul Abu Bakar, Md Zarafi Ahmad


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.

DOI: http://dx.doi.org/10.11591/ijpeds.v2i1.154

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