Comparative study of the MPPT methods applied to the PV system; Perturbation & Observation technique, sliding mode control and fuzzy logic control

The objective of this research paper is to investigate various methods for maximum power point tracking (MPPT) that can be applied to photovoltaic (PV) systems. The study involves the assessment and comparison of three different techniques: perturbation and observation (P&O), sliding mode control (SMC), and fuzzy logic-based MPPT. To transfer the maximum amount of power possible, a DC/DC boost converter is used between the PV system and the load. It has been observed that conventional MPPT approaches such as P&O are unable to detect and track the highest peak, leading to a significant loss of power, so a technique is suggested sliding mode control, which offers many benefits such as durability against parameter changes, minimal current output distortion, and excellent reference tracking. The problem with this technique is high oscillations in the transitional regime. The algorithm based on fuzzy logic control is reliable and effective. The simulation results shown in MATLAB confirm that the fuzzy logic method does operate at the ideal point without oscillations. Moreover, it exhibits good transient behavior and better tracking of the maximum power point.