CONTROLLING CAR MOVEMENTS WITH FUZZY INFERENCE SYSTEM USING AID OF VARIOUSELECTRONIC SENSORS

Abstract

The driver assistance system is a complex mobile robot system which was designed and built to help drivers to control a car. The system makes a car able to stop automatically within the distance to the obstacles around and reduced car accidents. This paper presents a miniature of a driver assistance system which was designed and built on 1:10 scale RJC car. The fuzzy car adapts fuzzy inference system as its control system. Fuzzy inference system help to simplify a complex driver assistance system by generating the control system from human experience and it allows to build a complex system easily. The fuzzy inference system is embedded on a micro-controller. The micro-controller control the fuzzy car by giving the instructions to the mechanical actuators. Fuzzy car could sense the distance and the track line with the aid of various electronic sensors. The design consisted of two main sections : software analysis for the fuzzy system with the programs which were integrated to the electronic components and electronic analysis which aid fuzzy system to take control of the mechanical actuators. The result of this research shows a complex control system can be built simply by using fuzzy inference system