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How does fuzzy logic improve the efficiency and performance of MPPT systems compared to traditional methods?

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Maximum power point tracking

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Fuzzy logic enhances the efficiency and performance of Maximum Power Point Tracking (MPPT) systems compared to traditional methods by addressing limitations such as slow convergence rates, oscillations, and drift problems under sudden irradiance variations. The use of fuzzy logic in MPPT algorithms, like Fuzzy Logic Control-Incremental Conductance (FLC-IC) and fuzzy sliding mode controllers (FSMC), allows for adaptive adjustments in perturbation steps and duty cycles, leading to faster convergence speeds, reduced oscillations, and improved stability during varying irradiance levels. Additionally, optimizing fuzzy logic controllers through evolutionary genetic algorithms further enhances MPPT performance by ensuring robustness and high accuracy in handling fast-varying load conditions. These advancements validate the effectiveness of fuzzy logic in significantly improving the overall efficiency and performance of MPPT systems over traditional methods.

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Open access•Journal Article•DOI Enhancing MPPT Performance in Partially Shaded PV Systems under Sensor Malfunctioning with Fuzzy Control Charlotte Pace 12 Jun 2023-Energies	Fuzzy logic enhances MPPT efficiency by reducing chattering and improving convergence under partial shading, outperforming traditional methods with superior performance indices and precise tracking capabilities.
Open access•Journal Article•DOI An Experimental Testing of Optimized Fuzzy Logic-Based MPPT for a Standalone PV System Using Genetic Algorithms Fatah Yahiaoui, Ferhat Chabour, Ouahib Guenounou, Mohit Bajaj, Syed Sabir Hussain Bukhari, Muhammad Shahzad Nazir, Mukesh Pushkarna, Daniel Eutyche Mbadjoun Wapet - Show less +7 more 27 Apr 2023-Mathematical Problems in Engineering 1 Citations	Fuzzy logic enhances MPPT efficiency by optimizing controller parameters through genetic algorithms, proving superior performance in handling fast load variations in standalone PV systems compared to traditional methods.
Open access•Journal Article•DOI Research on improved MPPT Fuzzy Logic Control-Incremental Conductance Algorithm Yajun Wang, Bo Lu - Show less +1 more 01 Jun 2023-Journal of Electrical Engineering and Automation	Fuzzy Logic Control-Incremental Conductance algorithm enhances MPPT systems by increasing convergence speed, reducing oscillations, and maintaining stability despite irradiation variations, surpassing traditional methods in efficiency and performance.
Proceedings Article•DOI A Modified P&O-MPPT Technique Using Fuzzy Logic Controller for PV Systems 19 May 2023	Fuzzy logic enhances MPPT efficiency by adapting duty cycle perturbation in the P&O algorithm, reducing oscillations, improving convergence speed, and accurately tracking the maximum power point under varying irradiance levels.
Proceedings Article•DOI A Modified P&O-MPPT Technique Using Fuzzy Logic Controller for PV Systems Rafah Ibraheem Jabbar, Karam Khairullah Mohammed, Saad Mekhilef, Marizan Mubin, Mehdi Seyedmahmoudian, Alex Stojcevski, Ben Horan, Mohamed Becherif - Show less +7 more 19 May 2023	Fuzzy logic enhances MPPT efficiency by adapting duty cycle perturbation step size, reducing oscillations, and improving convergence speed, as demonstrated in the proposed modified P&O algorithm.

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What are the reasons to use fuzzy logic in artificial intelligence?5 answersFuzzy logic is used in artificial intelligence for several reasons. Firstly, it offers flexibility in reasoning by allowing states to be other than clear-cut or binary, taking into account possible errors and uncertainties. Secondly, fuzzy logic provides a way to model knowledge using IF-THEN rules, making it more similar to human reasoning and allowing for the development of computer-assisted diagnostic tools. Additionally, fuzzy logic can be applied in automation functions, such as nutrient mixing machines in hydroponics, to improve efficiency and resource use. It also has the potential to be used in objective performance assessment in healthy individuals and patients, including within the eHealth paradigm. Overall, fuzzy logic complements artificial intelligence by providing a degree of adaptability, allowing for more realistic and human-like decision-making processes.

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How can fuzzy logic control be used to improve the efficiency of a grid connected PV system?2 answersيمكن استخدام التحكم المنطقي الضبابي لتحسين كفاءة النظام الكهروضوئي المتصل بالشبكة من خلال تحسين تدفق الطاقة وتعظيم تتبع نقطة الطاقة وتقليل تموج تيار الشبكة. يؤدي استخدام وحدة تحكم منطقية غامضة في شبكة صغيرة مع مصادر طاقة موزعة وعناصر تخزين الطاقة إلى تحسين إدارة الأحمال والأداء العام للنظام. من خلال تنفيذ وحدة تحكم منطقية غامضة تعتمد على التحكم في التدلي، يمكن البحث عن تأثيرات القصور الذاتي والتخميد والتحكم فيها، مما يؤدي إلى تحسين التزامن وتنظيم الجهد. يمكن لمخطط التحكم المحسن للأنظمة الكهروضوئية المتصلة بالشبكة مع MPPT الضبابي معالجة عيوب خوارزميات MPPT التقليدية، مثل الكفاءة المنخفضة ووقت الاستقرار العالي، مما يؤدي إلى استجابة ديناميكية أسرع واستخدام أفضل لطاقة الشبكة. بالإضافة إلى ذلك، يمكن استخدام وحدة التحكم المنطقية الضبابية لتحقيق التحكم في تدفق الطاقة وتحسين جودة الطاقة في نظام ضخ المياه بالطاقة الكهروضوئية المتصل بالشبكة. بشكل عام، يعمل التحكم المنطقي الضبابي على تحسين كفاءة وأداء الأنظمة الكهروضوئية المتصلة بالشبكة من خلال تحسين تدفق الطاقة وتتبع نقاط الطاقة القصوى وتحسين جودة الطاقة.

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