Implementation of Artificial Neural Network Controller for Double-Input Boost Converter

Buswig, Yonis.M.Yonis and Al-Khalid, bin Hj Othman and Norhuzaimin, bin Julai and Sim, Sy Yi and Utomo, W.M and A. J. M., S. Lim (2018) Implementation of Artificial Neural Network Controller for Double-Input Boost Converter. Indonesian Journal of Electrical Engineering and Computer Science, 11 (2). pp. 784-790. ISSN 2502-4752

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Abstract

This paper describes the design of an artificial neural network (ANN) control with power sharing control abilities of a new proposed double-input boost power converter (DIBC). The goal of this research is to model and design a high effectiveness and great performance double-input power converter for renewable energy applications. First, an artificial neural network controller design which is flexible versus a variable input voltage resource and variable load (to achieve the line regulation test and load regulation test) is proposed. Lastly, the suggested concept has been validated through experimentally on the laboratory prototype by using DSP TMS320F28335 real-time digital control. The experimental outcomes emphasize the authenticity of the suggested topology, which can be promising a novel topology that includes double-input power converter appropriate for renewable energy application systems.

Item Type: Article
Uncontrolled Keywords: Artificial Neural Network, (ANN) controller, Boost converter, Double-input power converter, Renewable energy applications, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Depositing User: Yonis Buswig
Date Deposited: 12 Jul 2018 02:01
Last Modified: 20 Jun 2019 07:36
URI: http://ir.unimas.my/id/eprint/20642

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