Comparison of adaptive tuning fuzzy PID and Ziegler-Nichols PID for photovoltaic cooling system.
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| Title: | Comparison of adaptive tuning fuzzy PID and Ziegler-Nichols PID for photovoltaic cooling system. |
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| Authors: | Badruzzaman, Yusnan1 yusnan.badruzzaman@polines.ac.id, Vernandez, Aggie Brenda1 aggievernandez@polines.ac.id, Nursaputro, Septiantar Tebe1 septiantartebe@polines.ac.id, Larasati, Pangestuningtyas Diah1 pangestuningtyas@polines.ac.id |
| Source: | International Journal of Electrical & Computer Engineering (2088-8708). Apr2026, Vol. 16 Issue 2, p1063-1074. 12p. |
| Subjects: | PID controllers, Cooling systems, Solar energy, Renewable energy sources, Adaptive control systems, Feedback control systems, Temperature control |
| Abstract: | Renewable energy, particularly solar power, is widely recognized as a clean and sustainable resource, with rooftop photovoltaic (PV) systems playing a vital role in electricity generation. However, high temperatures can significantly reduce their efficiency, making effective cooling systems essential. This study proposes a proportional-integral-derivative (PID) based cooling control system for rooftop PV panels, integrating an adaptive Mamdani fuzzy logic controller to optimize PID parameters dynamically. The methodology includes system modeling, hardware and software implementation, and comparative testing between the Mamdani fuzzy-PID controller and the Ziegler-Nichols PID method. Experimental results show that both controllers effectively regulate PV panel temperature at 36 °C. The Ziegler-Nichols PID achieves faster settling time of 6.45 minutes with a steady-state error of 1.345%, whereas the Mamdani fuzzy-PID reduces the steady-state error to 0.93% but with a longer settling time of 9.15 minutes. These results indicate that the fuzzy-PID controller offers better accuracy and system stability, making it a promising solution for maintaining PV performance under varying environmental conditions. The key novelty of this study lies in its adaptive approach, where the Mamdany fuzzy-PID controller continuously adjust control parameters (Kp, Ki, Kd) in real time, resulting in more consistent and precise temperature regulation than conventional PID tuning methods. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Electrical & Computer Engineering (2088-8708) is the property of Institute of Advanced Engineering & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 192718369 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Comparison of adaptive tuning fuzzy PID and Ziegler-Nichols PID for photovoltaic cooling system. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Badruzzaman%2C+Yusnan%22">Badruzzaman, Yusnan</searchLink><relatesTo>1</relatesTo><i> yusnan.badruzzaman@polines.ac.id</i><br /><searchLink fieldCode="AR" term="%22Vernandez%2C+Aggie+Brenda%22">Vernandez, Aggie Brenda</searchLink><relatesTo>1</relatesTo><i> aggievernandez@polines.ac.id</i><br /><searchLink fieldCode="AR" term="%22Nursaputro%2C+Septiantar+Tebe%22">Nursaputro, Septiantar Tebe</searchLink><relatesTo>1</relatesTo><i> septiantartebe@polines.ac.id</i><br /><searchLink fieldCode="AR" term="%22Larasati%2C+Pangestuningtyas+Diah%22">Larasati, Pangestuningtyas Diah</searchLink><relatesTo>1</relatesTo><i> pangestuningtyas@polines.ac.id</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Electrical+%26+Computer+Engineering+%282088-8708%29%22">International Journal of Electrical & Computer Engineering (2088-8708)</searchLink>. Apr2026, Vol. 16 Issue 2, p1063-1074. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22PID+controllers%22">PID controllers</searchLink><br /><searchLink fieldCode="DE" term="%22Cooling+systems%22">Cooling systems</searchLink><br /><searchLink fieldCode="DE" term="%22Solar+energy%22">Solar energy</searchLink><br /><searchLink fieldCode="DE" term="%22Renewable+energy+sources%22">Renewable energy sources</searchLink><br /><searchLink fieldCode="DE" term="%22Adaptive+control+systems%22">Adaptive control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Feedback+control+systems%22">Feedback control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Temperature+control%22">Temperature control</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Renewable energy, particularly solar power, is widely recognized as a clean and sustainable resource, with rooftop photovoltaic (PV) systems playing a vital role in electricity generation. However, high temperatures can significantly reduce their efficiency, making effective cooling systems essential. This study proposes a proportional-integral-derivative (PID) based cooling control system for rooftop PV panels, integrating an adaptive Mamdani fuzzy logic controller to optimize PID parameters dynamically. The methodology includes system modeling, hardware and software implementation, and comparative testing between the Mamdani fuzzy-PID controller and the Ziegler-Nichols PID method. Experimental results show that both controllers effectively regulate PV panel temperature at 36 °C. The Ziegler-Nichols PID achieves faster settling time of 6.45 minutes with a steady-state error of 1.345%, whereas the Mamdani fuzzy-PID reduces the steady-state error to 0.93% but with a longer settling time of 9.15 minutes. These results indicate that the fuzzy-PID controller offers better accuracy and system stability, making it a promising solution for maintaining PV performance under varying environmental conditions. The key novelty of this study lies in its adaptive approach, where the Mamdany fuzzy-PID controller continuously adjust control parameters (Kp, Ki, Kd) in real time, resulting in more consistent and precise temperature regulation than conventional PID tuning methods. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Electrical & Computer Engineering (2088-8708) is the property of Institute of Advanced Engineering & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.11591/ijece.v16i2.pp1063-1074 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 1063 Subjects: – SubjectFull: PID controllers Type: general – SubjectFull: Cooling systems Type: general – SubjectFull: Solar energy Type: general – SubjectFull: Renewable energy sources Type: general – SubjectFull: Adaptive control systems Type: general – SubjectFull: Feedback control systems Type: general – SubjectFull: Temperature control Type: general Titles: – TitleFull: Comparison of adaptive tuning fuzzy PID and Ziegler-Nichols PID for photovoltaic cooling system. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Badruzzaman, Yusnan – PersonEntity: Name: NameFull: Vernandez, Aggie Brenda – PersonEntity: Name: NameFull: Nursaputro, Septiantar Tebe – PersonEntity: Name: NameFull: Larasati, Pangestuningtyas Diah IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20888708 Numbering: – Type: volume Value: 16 – Type: issue Value: 2 Titles: – TitleFull: International Journal of Electrical & Computer Engineering (2088-8708) Type: main |
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