Soft-Starting of BLDC Motor Using Model Predictive Control for Lightweight Electric Vehicles

This Project focuses on soft starting of a Brushless DC Motor (BLDCM) with arrangement of Landsman Converter and Voltage Source Inverter (VSI). This innovative configuration incorporates Model Predictive Control for BLDCM propulsion. This arrangement eliminates the initial inrush current and initial high torque. The converter is made to operate to maneuver and regulate the input DC voltage fed to the voltage source inverter thereby enabling precise control over the BLDCM speed, hence the landsman converter takes care of the speed control of the BLDCM by gradually applying the voltage to VSI, the switching burden of VSI is reduced. As a result, the VSI switches now operate at low-frequency signals, so switching losses of the system are minimized significantly. The project's performance evaluation utilizes the MATLAB-Simulink platform, ensuring a thorough and reliable assessment of the overall system's capabilities. Usage of Model Predictive Control helps in gradual increase voltage during sudden loading and unloading conditions of the vehicle. Based on the iterations it keeps updating itself for the gradual increase in voltage waveforms.