Evaluation of MRAC based Adaptive Cruise Control for Semi-Autonomous Vehicle using Virtual Simulation Platform

Autonomous vehicle is the topic where the automotive industry in the world is emphasizing. It has been a hot topic for the automotive manufacturer in the world in emphasizing Smart City for a safer city in the effort of reducing road accidents due to the mitigation of driver’s error and flaw in computerised auto-pilots. Semi-autonomous vehicles equipped of technologies such as Lane-Keep Assist (LKA), Adaptive Cruise Control (ACC) and Autonomous Emergency Braking (AEB) are among the technological discussion topics in self-driving vehicle. This paper illustrates the technique to accomplish the design of an Adaptive Cruise Controller for passenger vehicle in longitudinal direction. The response of the vehicle model is verified using virtual simulation tool, IPG CarMaker. A design methodology of advance PID controller using Model Reference Adaptive Control (MRAC) based PID technique is designed in this study to compare its performance against a conventional PID controller based on different road surface and various vehicle set speed.