Global maximum power point tracking method for photovoltaic systems using Takagi-Sugeno fuzzy models and ANFIS approach

• Datum: 2025
• Hauptverfasser: Hadjidj, N., Benbrahim, M., Ounnas, D., Mouss, L. H.
• Format: Artikel
• Sprache: Englisch
• Veröffentlicht: National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine 2025
• Schlagworte: photovoltaic system; maximum power point tracking; Takagi-Sugeno fuzzy model; linear matrix inequalities
• Online Zugang: http://eie.khpi.edu.ua/article/view/310475
• Назва журналу: Electrical Engineering & Electromechanics

Introduction. A new global maximum power point tracking (GMPPT) control strategy for a solar photovoltaic (PV) system, based on the combination of Takagi-Sugeno (T-S) fuzzy models and an ANFIS, is presented. The novelty of this paper lies in the integration of T-S fuzzy models and the ANFIS approach...