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

Abstract

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