A Solar PV Array Fed High-Gain Reboost Luo Converter by Grey Wolf Optimizer Algorithm based MPPT in BLDC Motor Drive for Electric Vehicles

Permanent magnet brushless dc (PMBLDC) machines can indeed be powered by photovoltaic systems (PV) and seem to be cheap, compact, and reliable for use in electric vehicle applications. The PMBLDC motors have increasingly gained a significant amount of attention to the incredibly quiet operation and low maintenance cost. Additionally, these motors are the most recent alternative option for researchers and industrial needs. Furthermore, the control of the PMBLDC motor is by electronic commutation, requires rotor-position sensing by regulating the current to the excitation of phase windings. Using reboost Luo dc-dc converters to limit current to the inverter is the most desirable method for regulating a PMBLDC motor. The maximum power point tracking (MPPT) of photovoltaic system employing a reboost Luo converter is handled by proportional Integral (PI) controller-based MPPT, and the controller’s parameters are optimised with the help of a grey-wolf algorithm. The reboost Luo converter increases the voltage from a photovoltaic (PV) source by boosting the PV source’s voltage by a factor of eight. MATLAB/SIMULINK is used to carry out the simulation, which is subsequently cross-checked against the experimental data by means of an FPGA controller.