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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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2023
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| Online Access: | http://eprints.uthm.edu.my/11352/1/J15812_9b44dd84346b35963905d949f6b168fb.pdf |
| _version_ | 1811134769206919168 |
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| 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 |
| collection | UTHM |
| 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 an experiment 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. |
| first_indexed | 2024-09-24T00:10:25Z |
| format | Article |
| id | uthm.eprints-11352 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2024-09-24T00:10:25Z |
| publishDate | 2023 |
| record_format | dspace |
| spelling | uthm.eprints-113522024-07-14T03:01:29Z http://eprints.uthm.edu.my/11352/ 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 an experiment 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/11352/1/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 |
| 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 |
| title | 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_short | 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 |
| topic | T Technology (General) |
| url | http://eprints.uthm.edu.my/11352/1/J15812_9b44dd84346b35963905d949f6b168fb.pdf |
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