A Novel Proportional Integral Derivative (PID) Controller-Based Control Strategy for a Formula Student Vehicle

This paper presents the simulation of a proportional integral derivative control system that is used to control the electric drive system of a formula student hybrid vehicle consisting of a permanent magnet DC motor coupled with the internal combustion engine through a chain drive in a Parallel Hybrid Electric Vehicle (PHEV)-type drive configuration. With the least amount of delay or overshoot and by regulating the voltage input to the electric vehicle’s motor, the PID algorithm provides the actual speed to the target speed. Further, the model was used to tune the proportional integral derivative controller. Some essential system parameters were predetermined, while others were idealized in models. It was validated and assessed that the MATLAB/Simulink model was stable. The precise values of proportional, integral, and derivative based on the transfer function-based tuner were then determined using it.