Adaptive Cruise Control for a Robotic Vehicle Using Fuzzy Logic

This paper presents the modelling, simulation, and implementation of an ACC system for a robotic vehicle using Fuzzy Logic control strategy. Implementation has been carried out using the graphical programming environment of LabVIEW and a robotic vehicle based on a real-time single board computer. The paper demonstrates control design process including the implementation of the fuzzy logic design rules, showing a good correlation between simulation behaviour and real-life implementation. The work is a part of a larger research informed teaching project for teaching engineering at Kingston University London.