Collision Avoidance Car Braking Neuro Fuzzy Controller

Abstract

This thesis deals with a Neuro-Fuzzy Controller (NFC) for collision avoidance a car braking system. Collision avoidance is a major problem of the world today, with an increasing number of individuals causing the deaths and properly damage due to poor car braking control mechanisms.A mathematical and Matlab/Simulink model of the braking system's components has been constructed using a quarter-car model. On the basis of input factors such as slip, road condition, coefficient of friction, and wheel acceleration, two Neuro-Fuzzy Controllers (NFC) have been used to control various parameters, such as optimal slip and brake pedal power. Analysis has been done on the nature of the slip curve over the entire braking period with and without NFCs.Analysis has been done on the type of curve including wheel velocity and vehicle velocity as well as the time required to arrive at the stopping distance with and without NFCs.