Cover Image

Adaptive position control of DC motor for brush-based photovoltaic cleaning system automation

In this paper, we have developed an automatic brush-based PV cleaning system to control and synchronize the 3 motors together with a smooth periodic of cleaning while moving it horizontally over the PV surface. The mechanical design involved installing linear guides at the top and bottom of the rail...

Full description

Saved in:
Bibliographic Details
Main Authors: Ummi Sorfina, Ummi Sorfina, Syed Zahurul Islam, Syed Zahurul Islam, Kok Boon Ching, Kok Boon Ching, Dur Muhammad Soomro, Dur Muhammad Soomro, Jabbar Al-Fatta Yahaya, Jabbar Al-Fatta Yahaya
Format: Article
Language:English
Published: 2023
Subjects:
T Technology (General)
Online Access:http://eprints.uthm.edu.my/9334/1/J15812_9b44dd84346b35963905d949f6b168fb.pdf
http://eprints.uthm.edu.my/9334/
https://doi.org/10.11591/eei.v12i3.4926
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uthm.eprints.9334
record_format eprints
spelling my.uthm.eprints.93342023-07-17T07:50:32Z http://eprints.uthm.edu.my/9334/ Adaptive position control of DC motor for brush-based photovoltaic cleaning system automation Ummi Sorfina, Ummi Sorfina Syed Zahurul Islam, Syed Zahurul Islam Kok Boon Ching, Kok Boon Ching Dur Muhammad Soomro, Dur Muhammad Soomro Jabbar Al-Fatta Yahaya, Jabbar Al-Fatta Yahaya T Technology (General) In this paper, we have developed an automatic brush-based PV cleaning system to control and synchronize the 3 motors together with a smooth periodic of cleaning while moving it horizontally over the PV surface. The mechanical design involved installing linear guides at the top and bottom of the rail to support the aluminium plate that holds the carrier motors and rotating brush. Two different movements of translational and rotational motion of the motors are managed by an algorithm programmed in Arduino Mega. In investigating the performance of motor parameters and dust removal rate, we conducted anexperiment by spreading dry sand over the PV surface. Results showed that the torque of the cleaning brush motor increases with the increase in load. The obtained torque of the carrier motor was found to be 9.167 Nm (> stall torque, 9.8 Nm) with a full load of 18 brushes. The torque is inversely proportional to the speed but directly proportional to power. The required power to move the 2.93 kg of cleaning system was 19.20 W with 3.015 Nm of torque. The system achieved 86.8% of the dust removal rate from the four cycles of cleaning operations. 2023 Article PeerReviewed text en http://eprints.uthm.edu.my/9334/1/J15812_9b44dd84346b35963905d949f6b168fb.pdf Ummi Sorfina, Ummi Sorfina and Syed Zahurul Islam, Syed Zahurul Islam and Kok Boon Ching, Kok Boon Ching and Dur Muhammad Soomro, Dur Muhammad Soomro and Jabbar Al-Fatta Yahaya, Jabbar Al-Fatta Yahaya (2023) Adaptive position control of DC motor for brush-based photovoltaic cleaning system automation. Bulletin of Electrical Engineering and Informatics, 12 (3). pp. 1293-1301. ISSN 2302-9285 https://doi.org/10.11591/eei.v12i3.4926
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Ummi Sorfina, Ummi Sorfina
Syed Zahurul Islam, Syed Zahurul Islam
Kok Boon Ching, Kok Boon Ching
Dur Muhammad Soomro, Dur Muhammad Soomro
Jabbar Al-Fatta Yahaya, Jabbar Al-Fatta Yahaya
Adaptive position control of DC motor for brush-based photovoltaic cleaning system automation
description In this paper, we have developed an automatic brush-based PV cleaning system to control and synchronize the 3 motors together with a smooth periodic of cleaning while moving it horizontally over the PV surface. The mechanical design involved installing linear guides at the top and bottom of the rail to support the aluminium plate that holds the carrier motors and rotating brush. Two different movements of translational and rotational motion of the motors are managed by an algorithm programmed in Arduino Mega. In investigating the performance of motor parameters and dust removal rate, we conducted anexperiment by spreading dry sand over the PV surface. Results showed that the torque of the cleaning brush motor increases with the increase in load. The obtained torque of the carrier motor was found to be 9.167 Nm (> stall torque, 9.8 Nm) with a full load of 18 brushes. The torque is inversely proportional to the speed but directly proportional to power. The required power to move the 2.93 kg of cleaning system was 19.20 W with 3.015 Nm of torque. The system achieved 86.8% of the dust removal rate from the four cycles of cleaning operations.
format Article
author Ummi Sorfina, Ummi Sorfina
Syed Zahurul Islam, Syed Zahurul Islam
Kok Boon Ching, Kok Boon Ching
Dur Muhammad Soomro, Dur Muhammad Soomro
Jabbar Al-Fatta Yahaya, Jabbar Al-Fatta Yahaya
author_facet Ummi Sorfina, Ummi Sorfina
Syed Zahurul Islam, Syed Zahurul Islam
Kok Boon Ching, Kok Boon Ching
Dur Muhammad Soomro, Dur Muhammad Soomro
Jabbar Al-Fatta Yahaya, Jabbar Al-Fatta Yahaya
author_sort Ummi Sorfina, Ummi Sorfina
title Adaptive position control of DC motor for brush-based photovoltaic cleaning system automation
title_short Adaptive position control of DC motor for brush-based photovoltaic cleaning system automation
title_full Adaptive position control of DC motor for brush-based photovoltaic cleaning system automation
title_fullStr Adaptive position control of DC motor for brush-based photovoltaic cleaning system automation
title_full_unstemmed Adaptive position control of DC motor for brush-based photovoltaic cleaning system automation
title_sort adaptive position control of dc motor for brush-based photovoltaic cleaning system automation
publishDate 2023
url http://eprints.uthm.edu.my/9334/1/J15812_9b44dd84346b35963905d949f6b168fb.pdf
http://eprints.uthm.edu.my/9334/
https://doi.org/10.11591/eei.v12i3.4926
_version_ 1772813830111363072
score 13.211869

Similar Items