Modelling and Controller Design of Automotive Cruise Control System using Hybrid Model Predictive Controller

Vehicle Cruise Control System (VCCS) is used to regulate the speed of the locomotive to a reference speed as desired by the driver. It is mainly used to reduce the driving exhaustion on the driver. This research paper deals with the control of VCCS based on Model Predictive Controller (MPC) in parallel with the conventional PID controller. The results of the proposed control system are compared with the conventional techniques including FLC, GA and ALO based PID controller. Simulation results show that the hybrid combination of MPC and classical PID controller has better outcome with regard to transient state response than numerous published techniques in recent times.