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Photovoltaic Cells Modeling via Artificial Neural Square Fuzzy Inference System
MODARES JOURNAL OF ELECTRICAL ENGINEERING
The present article investigates the application of high order TSK (Takagi Sugeno Kang) fuzzy systems in modeling photo voltaic (PV) cell characteristics. A method has been introduced for training second order TSK fuzzy systems using ANFIS (Artificial Neural Fuzzy Inference System) training method. It is clear that higher order TSK fuzzy systems are more precise approximators while they cover nonlinearities better than zero and first order systems with the same number of rules and inputfatcat:eqnjyl437vhqpfeddifjwxitgq