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Journals / Electronic Letters on Science and Engineering / 2026 / Volume: 16 Issue: 1

Comparison of Sliding Mode and Fuzzy Logic MPPT Techniques for PV Systems

PV Sistemler için Kayan Kipli ve Bulanık Mantık MPPT Tekniklerinin Karşılaştırılması

Harun Özbay(BANDIRMA ONYEDİ EYLÜL ÜNİVERSİTESİ)0000-0003-1068-244X
Pages
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Publication Date
2020-06-30
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The simulation studies were carried out with the PSIM program and results were presented to evaluate the performance of the proposed systems.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, the comparison of the sliding mode controller and Fuzzy logic controller techniques with the simulation studies has been performed for the monitoring of the maximum power point in photovoltaic systems.
📊
Key Findings & Data:In the study, simulation studies were carried out for different climatic conditions and robustness tests were performed for both MPPT algorithms.
💡
Conclusion & Impact:The simulation studies were carried out with the PSIM program and results were presented to evaluate the performance of the proposed systems.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:PV system · maximum power point tracker · SMC

Abstract

In this study, the comparison of the sliding mode controller and Fuzzy logic controller techniques with the simulation studies has been performed for the monitoring of the maximum power point in photovoltaic systems. In the study, simulation studies were carried out for different climatic conditions and robustness tests were performed for both MPPT algorithms. Maximum power transfer from PV panels is realized in both algorithms. However, the SMC algorithm captured the maximum power point faster than the FLC algorithm system and followed it with higher efficiency. The simulation studies were carried out with the PSIM program and results were presented to evaluate the performance of the proposed systems.

Özet

Bu çalışmada, fotovoltaik sistemlerde (PV) maksimum güç noktasının takibi (MPPT) için kayan kipli denetleyici (SMC) ve Bulanık mantık denetleyici (FLC) tekniklerinin simülasyon çalışmaları ile karşılaştırılması gerçekleştirilmiştir. Çalışmada farklı iklim koşulları için simülasyon çalışmaları yapılarak her iki MPPT algoritması için sağlamlık testi yapılmıştır. Her iki algoritmada da PV panellerden maksimum güç aktarımı gerçekleştirilmiştir. Fakat SMC algoritmalı sistemin FLC algoritmalı sisteme göre maksimum güç noktasını daha hızlı yakalamış ve daha yüksek verimle takip etmiştir. Yapılan simülasyon çalışmaları PSIM programı ile yapılmış ve önerilen sistemlerin performansını değerlendirmek için sonuçlar sunulmuştur.

🔖

Cite This Article

Özbay, H. (2020). Comparison of Sliding Mode and Fuzzy Logic MPPT Techniques for PV Systems. Electronic Letters on Science and Engineering, Volume: 16 Issue: 1. https://ajindex.com/articles/1181012

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  28. Chekired, F., et al. “Implementation of a MPPT fuzzy controller for photovoltaic systems on FPGA circuit”, Energy Procedia, 6:541-549, 2011
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  30. Sundaram, B. M., et al. “Combination of novel converter topology and improved MPPT algorithm for harnessing maximum power from grid connected solar PV systems”, Journal of Electrical Engineering & Technology 14.2, 733-746, 2019
  31. Heydari, M., Khoramikia, H., & Fatemi, A. “High-voltage gain SEPIC-based DC–DC converter without coupled inductor for PV systems”, IET Power Electronics, 12(8), 2118-2127, 2019
  32. Kazimierczuk, M. K., “Pulse-width modulated DC-DC power converters”, John Wiley & Sons, Chichester, 22-145, 2015
  33. Onat, N., “Recent developments in maximum power point tracking technologies for photovoltaic systems”, International Journal of Photoenergy, 1-11, 2010
  34. Rezk, Hegazy, et al. “Design and Hardware Implementation of New Adaptive Fuzzy Logic-Based MPPT Control Method for Photovoltaic Applications”, IEEE Access 7 106427-106438, 2019
  35. Refaat, Mohamed M., et al. “Adaptive Fuzzy Logic Controller as MPPT Optimization Technique Applied to Grid-Connected PV Systems”, Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems. Springer, Cham, 247-281, 2020
  36. Shirazi, M. K., Joorabian M., and Sadeghi A. “Intelligent P&O MPPT Algorithm in PV Stand Alone for Faster Transient Response”, International Journal of Energy Engineering, 5(4):74-79, 2015
  37. Ross, Timothy J. “Fuzzy logic with engineering applications”, 3th Edition, John Wiley & Sons, 2010
  38. Orozco, M. A., Vázquez, J. R., Salmerón, P., and Pérez, A., “A sliding maximum power point tracker for a photovoltaic system”, Universidad de Huelvan, Spain, 1-6, 2009
  39. Abderrahim, T., Abdelwahed, T., & Radouane, M., “Improved strategy of an MPPT based on the sliding mode control for a PV system”, International Journal of Electrical and Computer Engineering, 10(3), 3074, 2020
  40. Tafticht, T., Agbossou, K., Doumbia, M. L., and Cheriti, A., “An improved maximum power point tracking method for photovoltaic systems”, Renewable energy, 33 (7): 1508-1516, 2008.