Fuzzy Logic Controller-based Simulation and Modeling of Peak Current Detection in BLDC Motor for PV-FED Water Pumping System

The purpose of this research was to examine the use of a Fuzzy Logic Controller (FLC) in a photovoltaic (PV) water pumping system to model and simulate peak current detection in a Brushless Direct Current (BLDC) motor. Sustainable and efficient water supply solutions are rapidly requiring the integration of renewable energy sources, such PV, with BLDC motors in water pumping systems. The suggested FLC-based method is to optimize the system's operation by improving the BLDC motor's performance via better detection and management of peak currents. The simulation framework involves the development of a mathematical model for the BLDC motor and the PV system, followed by the incorporation of the FLC-based peak current detection scheme. Through rigorous simulations, the study evaluates the controller's effectiveness in minimizing peak currents, ensuring smooth motor operation, and maximizing energy utilization from the PV source. The results demonstrate the superior performance of the FLC-based approach compared to traditional methods.