Setpoint Tracking and Disturbance Rejection in Automobile using Predictive Controller

Cruise Control is a type of automated driving system that takes control of the automobile’s longitudinal control when required.It can handle the acceleration and stop pedal in so many conditions, like traffic congestion, to manage a vehicle’s speed and acceleration and to retain a considerable distance or pace compared to the front target car.Cruise control reduces driver workload while also improving vehicle safety, fuel efficiency, and road traffic.To develop an efficient cruise control system, in this study, various controllers are designed for the electric bike to monitor set-point tracking and disturbance rejection. The mathematical model of an electric bike is identified and predictive controllers such as Model Predictive Controller (MPC) and General Predictive Controller (GPC) are designed based on the model. The controllers are then compared with conventional Proportional Integral Derivative (PID) controllers and evaluated using error metricsin both cases like setpoint tracking and disturbance rejection. The error metrics of the three controllers are compared and the most efficient and reliable controller is identified.