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

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.