Power factor correction: performance comparison of an existing microcontroller-based system and a neuro-fuzzy system

Philip Adewuyi; Gbenga Adebajo

doi:10.31127/tuje.1593597

Power factor correction: performance comparison of an existing microcontroller-based system and a neuro-fuzzy system

Abstract

An existing microcontroller-based power factor correction system has been able to improve the overall conversion of electrical power into a useful work of a highly industrial load. However, more improvements are still desired to get the existing power factor value close to 1 as much as practically possible. With the current microcontroller-based power factor correction system, microcontroller has to be replaced often due to power fluctuation and a low-quality power available. The microcontroller requires ordering for new replacement as it is not reprogrammable to meet the new operational demands. Artificial intelligence tools, neural network and fuzzy logic are considered. Neuro-fuzzy system approach is settled for as an alternative to microcontroller-based power factor correction system. Neuro-fuzzy system is able to learn through training, testing, and validation processes and controls the automatic switching of the capacitor banks to adequately compensate for the lagging loads. Results obtained were compared to the existing microcontroller power factor correction system. Neuro-fuzzy system shows better performance over microcontroller-based system. The neuro-fuzzy system automatically adjusts itself to suit the present operational requirement to always have a power factor result closer to 1 as compared with that of a microcontroller-based system which does not give room for reprogramming making it static to a larger extent in its operational duties.

Keywords

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Details

Primary Language

English

Subjects

Electrical Circuits and Systems, Electrical Energy Transmission, Networks and Systems

Journal Section

Research Article

Authors

Philip Adewuyi ^*
0000-0002-1666-7577
Nigeria

Gbenga Adebajo
0009-0004-4324-3237
Nigeria

Early Pub Date

March 6, 2025

Publication Date

July 1, 2025

Submission Date

November 29, 2024

Acceptance Date

February 22, 2025

Published in Issue

Year 2025 Volume: 9 Number: 3

DOI

https://doi.org/10.31127/tuje.1593597

IZ

https://izlik.org/JA33BS92RH

Cite

RIS / Bibtex

APA

Adewuyi, P., & Adebajo, G. (2025). Power factor correction: performance comparison of an existing microcontroller-based system and a neuro-fuzzy system. Turkish Journal of Engineering, 9(3), 501-507. https://doi.org/10.31127/tuje.1593597

AMA

1.Adewuyi P, Adebajo G. Power factor correction: performance comparison of an existing microcontroller-based system and a neuro-fuzzy system. TUJE. 2025;9(3):501-507. doi:10.31127/tuje.1593597

Chicago

Adewuyi, Philip, and Gbenga Adebajo. 2025. “Power Factor Correction: Performance Comparison of an Existing Microcontroller-Based System and a Neuro-Fuzzy System”. Turkish Journal of Engineering 9 (3): 501-7. https://doi.org/10.31127/tuje.1593597.

EndNote

Adewuyi P, Adebajo G (July 1, 2025) Power factor correction: performance comparison of an existing microcontroller-based system and a neuro-fuzzy system. Turkish Journal of Engineering 9 3 501–507.

IEEE

[1]P. Adewuyi and G. Adebajo, “Power factor correction: performance comparison of an existing microcontroller-based system and a neuro-fuzzy system”, TUJE, vol. 9, no. 3, pp. 501–507, July 2025, doi: 10.31127/tuje.1593597.

ISNAD

Adewuyi, Philip - Adebajo, Gbenga. “Power Factor Correction: Performance Comparison of an Existing Microcontroller-Based System and a Neuro-Fuzzy System”. Turkish Journal of Engineering 9/3 (July 1, 2025): 501-507. https://doi.org/10.31127/tuje.1593597.

JAMA

1.Adewuyi P, Adebajo G. Power factor correction: performance comparison of an existing microcontroller-based system and a neuro-fuzzy system. TUJE. 2025;9:501–507.

MLA

Adewuyi, Philip, and Gbenga Adebajo. “Power Factor Correction: Performance Comparison of an Existing Microcontroller-Based System and a Neuro-Fuzzy System”. Turkish Journal of Engineering, vol. 9, no. 3, July 2025, pp. 501-7, doi:10.31127/tuje.1593597.

Vancouver

1.Philip Adewuyi, Gbenga Adebajo. Power factor correction: performance comparison of an existing microcontroller-based system and a neuro-fuzzy system. TUJE. 2025 Jul. 1;9(3):501-7. doi:10.31127/tuje.1593597

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