Fuzzypulse Solar Vista: Merging Advanced Fuzzy Logic with Perturb & Observe for Optimal Solar Tracking

This paper presents a comparative study between the traditional Perturb and Observation (P&O) Maximum Power Point Tracking (MPPT) method and its enhancement through the integration of fuzzy logic control. The primary objective is to mitigate the shortcomings associated with the P&O method, particularly its tendency to induce output oscillations. By in- corporating fuzzy logic control into the P&O algorithm, the proposed method aims to alleviate these oscillations and enhance overall MPPT performance. The effectiveness of the combined approach is evaluated through extensive simulations, wherein the results demonstrate a reduction in output oscillations and improved tracking efficiency. Moreover, the application scope of the system is extended by integrating a boost converter and a H bridge inverter on the load side, thereby enhancing its versatility and practical utility. Through comprehensive analysis and simulation validation, this study offers valuable insights into the potential synergies between conventional MPPT methods and advanced control techniques, paving the way for more robust and efficient renewable energy systems.