Fuzzy Logic Enhanced PI Controller with Arithmetic Optimization for Real-Time MPPT in PV Systems

Abstract

This study introduces a real-time Maximum Power Point Tracking (MPPT) technique for photovoltaic (PV) systems that uses a dSPACE real-time platform and is created by merging fuzzy logic control, a proportional-integral (PI) controller, and the Arithmetic Optimization Algorithm (AOA).The proposed hybrid method uses the adaptive characteristics of fuzzy logic to control nonlinearity and the corrective accuracy of the PI controller to maintain system stability even as the AOA dynamically optimizes controller parameters to achieve rapid convergence and more effectively tracking efficiency under various irradiance and temperature conditions. The dSPACE technology enables rapid development and real-time validation, hence ensuring practical usability and resilience of the suggested controller. Experimental results confirm that, as compared to conventional methods, the combined fuzzy-PI-AOA approach improves MPPT accuracy, reduces oscillations around significantly increases the PV energy extraction system's total efficiency at the maximum power point.