Publication Date


Document Type


First Advisor

Woo, Peng-Yung

Degree Name

M.S. (Master of Science)

Legacy Department

Department of Electrical Engineering


Fuzzy systems; Automobiles--Brakes--Data processing


Fuzzy control has come in a big way during the past few years generating tremendous interest in applications. There are a number of reasons for such popularity. Real life systems are always non-linear and their dynamics change constantly. Fuzzy logic has come up with easy practical solutions for such real life and other systems. The purpose of this thesis is to explain fuzzy logic in detail, design a fuzzy controller for anti-collision braking system and to study the stability of the cpntroller. The controller is implemented using Fuzzy Inference Development Environment (FIDE Version 1). FIDE requires conception of membership functions for fuzzification and defuzzification, and a rule base for fuzzy logic to work. The designed controller works for a majority of situations. Yet there are certain conditions where the controller will fail (viz. when the obstruction is standing still or is moving slowly and is very close to the vehicle and when the vehicle is approaching it at a very high speed). However as the controller operates all the time, these situations may never arise.


Includes bibliographical references (leaf [99])


x, 113 pages




Northern Illinois University

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