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Online Learning Neural Network Control of Buck-Boost Converter

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5 Author(s)
Utomo, W.M. ; Fac. of Electr. & Electron. Engr, Univ. Tun Hussein Onn, Batu Pahat, Malaysia ; Bakar, A. ; Ahmad, M. ; Taufik, T.
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This paper proposes a neural network control scheme of a DC-DC buck-boost converter using online learning method. In this technique, a back propagation algorithm is derived. The controller is designed to stabilize the output voltage of the DC-DC converter and to improve performance of the Buck-Boost 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.

Published in:

Information Technology: New Generations (ITNG), 2011 Eighth International Conference on

Date of Conference:

11-13 April 2011