Optimised fuzzy controller for improved comfort level during transitions in Cruise and Adaptive Cruise Control Vehicles

Abstract

Conventional controllers like Proportional Derivative (PD), Proportional Integral (PI) and Proportional Integral Derivative (PID) controllers were used in implementing Velocity Control Mode (VCM) in Cruise Control (CC) and Adaptive Cruise control (ACC) vehicles. Transition that occur in "resume mode" of CC and transitions that occur during switching from Distance Control Mode (DCM) to VCM for an ACC is considered primarily for the design of a controller. This transition creates the disturbance in the comfort level of the vehicle occupants. Disturbance above a predefined level may lead to rejection of such driver assistance systems by the user. The proposed optimized fuzzy controller using Genetic Algorithm (GA) has shown a better performance over the conventional CC system in terms of minimizing the jerk by controlling the acceleration within the comfortable level.