DC–DC Converter with Pi Controller for BLDC Motor Fuzzy Drive System

The Brushless DC Motor drive systems are used widely with renewable energy resources. power converter controlling technique increases the performance by novel techniques and algorithms. Conventional approaches mostly focused on buck converter, Fuzzy logic control various switching activity. In this proposed research work, QPSO (Quantum Particle Swarm Optimization algorithm) is state of from generation unit solar module. Through duty cycle pulse optimization function, MOSFET (Metal-Oxide-Semiconductor Field-Effect Transistor) Boost gets switched when BLDC (Brushless Direct Current Motor) motor system requires power. Voltage Source three phase inverter controlled proportional-integral (PI) controller. Based drive, load utilized generating Experimental results analyzed every module grid system, which utilizes irradiance temperature depends Photovoltaics (PV) generated Duty determined. boost stage based obtained. Single Ended Primary Inductor Converter (SEPIC) Zeta model compared logic; achieves results. Three control, PI, Thus constructed to obtain better than most recent literatures. Overall design done using MATLAB/Simulink 2020a.