Proceedings of the 7th FIRST 2023 International Conference on Global Innovations (FIRST-ESCSI 2023)

<Previous Article In Volume
Next Article In Volume>

Automatic Transfer Switch System for Controlling the Energy Utilization in Greenhouse Mobile Robot using Neural Network Algorithm

Authors
Renny Maulidda1, *, Pola Risma1, Tresna Dewi1, Andika Wijaya1
1Department of Electrical Engineering, Politeknik Negeri Sriwijaya, Palembang, Indonesia
*Corresponding author. Email: rennymaulidda@polsri.ac.id
Corresponding Author
Renny Maulidda
Available Online 27 February 2024.
DOI
10.2991/978-94-6463-386-3_18How to use a DOI?
Keywords
Mobile Robot; Neural Network; Energy Alternative
Abstract

A greenhouse is a building specifically designed to cultivate plants in both conventional plants with soil media and modern cultivation. However, there are problems that must be faced, such as the disturbance of pests. It requires a mobile robot that can monitor and secure the plants. The purpose of the surveillance is to ensure that plant growth runs smoothly, from planting to harvesting, without pest disturbance. The greenhouse mobile robot is designed using a solar panel and battery that are regulated by an automatic transfer switch (ATS) to automate the switching of the two sources of electrical energy. The neural network aims to improve the performance of ATS in making decisions by processing voltage sensor data in Arduino Mega 2560 through independent training, resulting in an MSE value of 0.003001. The results of the ATS system show success in making a decision so that the greenhouse mobile robot can continue to operate independently using solar panels and battery alternately. It contributes to the efficiency and reliability of the robot without interruption of electrical power problems that can stop its operation.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 7th FIRST 2023 International Conference on Global Innovations (FIRST-ESCSI 2023)
Series
Advances in Engineering Research
Publication Date
27 February 2024
ISBN
10.2991/978-94-6463-386-3_18
ISSN
2352-5401
DOI
10.2991/978-94-6463-386-3_18How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Renny Maulidda
AU  - Pola Risma
AU  - Tresna Dewi
AU  - Andika Wijaya
PY  - 2024
DA  - 2024/02/27
TI  - Automatic Transfer Switch System for Controlling the Energy Utilization in Greenhouse Mobile Robot using Neural Network Algorithm
BT  - Proceedings of the 7th FIRST 2023 International Conference on Global Innovations (FIRST-ESCSI 2023)
PB  - Atlantis Press
SP  - 158
EP  - 168
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-386-3_18
DO  - 10.2991/978-94-6463-386-3_18
ID  - Maulidda2024
ER  -