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Citra Dewi
Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Padang, Indonesia
Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Control of Buck Converter Using Artificial Neural Network Ranti Rahyu Rahmadani; Citra Dewi
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 1 (2024): Vol 1 No 1 (2024): June 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/c0151a64

Abstract

Electrical energy has an important role in various aspects of life. Electrical energy is used in the form of alternating current (AC) voltage and direct current (DC) voltage. To produce a direct voltage (DC) that varies and as needed, a power converter is needed that is equipped with a control system so that the resulting voltage remains stable and does not experience overvoltage or undervoltage. In this research, the converter used is a buck converter. Because the buck converter is a nonlinear system, it requires a control system with a dynamic response rate. So it is necessary to design a buck converter by applying a control system that can maintain the stability of the buck converter output voltage efficiently and adaptively such as the Artificial Neural Network (ANN) method. The control proposed system will be implemented using an Arduino ATMega2560 programmed through Simulink Matlab. To test the effectiveness of this control system, several experiments will be conducted with an input voltage of 24 Volts and outputs worth 9 and 12 Volts. From this test, a voltage error of 0.1 Volt was obtained in the experiment with constant voltage and constant load criteria, proving that the control has successfully controlled the buck converter output voltage according to the reference voltage
Prototype of smart parking system for Bukittinggi city parking buildings based on Arduino Roland Dwi Yonil; Hastuti; Citra Dewi; Juli Sardi
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 2 (2024): Vol 1 No 2 (2024): December 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/qjvada24

Abstract

The parking system currently used in the Bukittinggi City parking building is not effective in managing parking, because it does not provide real-time information about the availability of parking spaces. As a result, use of parking spaces is often suboptimal, with some parking spaces remaining empty while others are full. This research aims to develop and test a system that is able to manage parking availability in real-time to maximize the use of existing space. Test results show that this system functions well and provides accurate results, which is very much needed in a tourist city like Bukittinggi. Overall, this system offers an efficient and practical solution to overcome parking challenges in big cities, and has the potential for further development, including integration with automatic payment systems and the use of more sophisticated sensors. This research shows that the Arduino-based Smart Parking system Uno in the Bukittinggi City parking building has succeeded in increasing the efficiency of parking space management. By using components such as push buttons, thermal printers, servo motors, limit switches, and LCD I2C displays, this system provides real-time information about parking availability, making it easier for motorists to find parking spaces quickly
Co-Authors Hastuti Juli Sardi Ranti Rahyu Rahmadani Roland Dwi Yonil