Open AccessSliding Mode Control and Fuzzy With MPPT Control Based PV Integrated Grid System
Author(s) -
G. MadhusudhanaRao,
S. Jayaprakash,
R. Murugesan,
S Soundara Bala
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1964/4/042023
Subject(s) - maximum power point tracking , photovoltaic system , control theory (sociology) , boost converter , controller (irrigation) , settling time , computer science , matlab , grid , fuzzy logic , sliding mode control , grid connected photovoltaic power system , inverter , engineering , voltage , control engineering , control (management) , electrical engineering , nonlinear system , physics , step response , mathematics , agronomy , geometry , artificial intelligence , quantum mechanics , biology , operating system
In this paper, the photovoltaic (PV) system based energy generation with grid integration of inverter and DC-DC boost converter. To enhance the system transient response and track the PV voltage in the load perturbations, the sliding mode controller (SMC) is implemented. The power conversion of DC-DC is accomplished using the converter controlled using the fuzzy logic controller with the MPPT control system. The proposed system increases the grid system stability, and it is achieving the quick settling time in power converter output, which means DC link voltage improvement. The results are achieved using the MATLAB/Simulink, and the obtained results are verified successfully.