An adaptive grid integrated photovoltaic system with perturb T–S fuzzy based sliding mode controller MPPT tracker: An experimental realization

0202 electrical engineering, electronic engineering, information engineering 02 engineering and technology 7. Clean energy
DOI: 10.1049/rpg2.12738 Publication Date: 2023-04-20T16:43:22Z
ABSTRACT
Abstract This research work proposes an adaptive grid integrated photovoltaic (PV) system with perturb T–S fuzzy approach‐based sliding mode controller (SMC) (T–S SMC) as a maximum power point tracker (MPPT). In this work, grid‐connected single‐phase H‐bridge microinverter is employed which controlled using sine pulse width modulation (SPWM). The proposed variable step controller‐based MPPT has high PV tracking efficiency, strong capability, precision, simpler hardware implementation, better transient performance, and rapid convergence velocity compared to other recent algorithms under discontinuous non‐linear operating conditions. Takagi–Sugeno (T–S) based generates perturbation high‐performance efficiency changing solar irradiance levels the Mamdani approach. inverter provides quality performance less total harmonic distortion (THD) SPWM technique can minimize lower‐order harmonics. Experimental results justify control design found 98.45% SMC method. From practical THD of voltage/current according IEEE 519 coder, than 5% limit.
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