Comparison between proposed fuzzy logic and ANFIS for MPPT control for photovoltaic system
Lotfi Farah, Adel Haddouche, Ali Haddouche
2020International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering37 citationsDOIOpen Access PDF
Abstract
In this paper, a maximum power point tracking (MPPT) algorithm for photovoltaic (PV) systems is achieved based on fuzzy logic controller (FLC) and compared with an anfis (neuro-fuzzy) based mppt controller, this method allies the abilities of artificial neural networks in learning and the power of fuzzy logic to handle imprecise data. Both methods are simulated using matlab/ simulink. The choise of power variation and the current variation as inputs of the proposed controllersreducesthe calculation. Both FLC and ANFIS based MPPTare tested in terms of steady state performance and the pv system dynamic.
Topics & Concepts
Maximum power point trackingAdaptive neuro fuzzy inference systemPhotovoltaic systemComputer scienceControl theory (sociology)Fuzzy logicMATLABController (irrigation)Maximum power principleFuzzy control systemPower (physics)Neuro-fuzzyArtificial neural networkControl engineeringArtificial intelligenceControl (management)EngineeringInverterBiologyAgronomyOperating systemQuantum mechanicsPhysicsElectrical engineeringPhotovoltaic System Optimization TechniquesSolar Radiation and Photovoltaicssolar cell performance optimization