Design and Hardware Implementation Based on Hybrid Structure for MPPT of PV System Using an Interval Type-2 TSK Fuzzy Logic Controller

O. Fatih Kececioglu, Ahmet Gani and Mustafa Sekkeli
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O. Fatih Kececioglu: Department of Electrical and Electronics Engineering, Kahramanmaras Sutcu Imam University, 46050 Kahramanmaras, Turkey
Ahmet Gani: Department of Electrical and Electronics Engineering, Kahramanmaras Sutcu Imam University, 46050 Kahramanmaras, Turkey
Mustafa Sekkeli: Department of Electrical and Electronics Engineering, Kahramanmaras Sutcu Imam University, 46050 Kahramanmaras, Turkey

Energies, 2020, vol. 13, issue 7, 1-18

Abstract: The major drawback of photovoltaic (PV) systems is their dependence on environmental conditions, such as solar radiation and temperature. Because of this dependency, maximum power point tracking (MPPT) control methods are used in PV systems in order to extract maximum power from the PV panels. This study proposes a controller with a hybrid structure based on angle of incremental conductance (AIC) method and Interval Type-2 Takagi Sugeno Kang fuzzy logic controller (IT2-TSK-FLC) for MPPT. MPPT performance of proposed hybrid controller is evaluated via detailed simulation studies and dSPACE-based experimental study. The results validate that the proposed hybrid controller offers fast-tracking speed, high stability, and robust performance against uncertainties arising from disturbance to inputs of the PV system.

Keywords: MPPT; Interval Type-2 TSK fuzzy logic controller; AIC (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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