Design and Implementation of a Voltage Tracking with Artificial Neural Network Controller for a Double-input Buck-Boost Converter

Buswig, Yonis.m and Al-Khalid, bin Hj Othman and Norhuzaimin, bin Julai and Sy Yi, Sim (2017) Design and Implementation of a Voltage Tracking with Artificial Neural Network Controller for a Double-input Buck-Boost Converter. Design and Implementation of a Voltage Tracking with Artificial Neural Network Controller for a Double-input Buck-Boost Converter, 9 (3-10). pp. 59-63. ISSN 2289-8131

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Official URL: http://journal.utem.edu.my/index.php/jtec/article/...

Abstract

This paper proposes an Artificial Neural Network (ANN) control voltage tracking scheme of a double-input buckboost DC-DC converter. In this topology, a back-propagation algorithm topology is implemented. The controller is developed to improve the performance of the double-input converter during transient and steady-state operations. The neural network controller design, which is developed against output voltage command tracking is proposed. The proposed concept has been investigated and validated experimentally on a laboratory prototype using DSP TMS320F28335real time digital controller to verify the dynamic response of the proposed controller. The experimental results confirm the validity of the proposed neural network control technique, which is a promising an efficient control topology that ensures doubleinput converter suitable for electric vehicle and renewable energy applications.

Item Type: Article
Uncontrolled Keywords: Artificial Neural Network Controller; DoubleInput Buck-Boost Converter; Voltage Tracking, 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: 03 Jan 2018 03:22
Last Modified: 03 Jan 2018 03:22
URI: http://ir.unimas.my/id/eprint/19095

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