A Fuzzy Driver on the Handling Track

[+] Author and Article Information
M. Wheeler

School of Mechnical Engineering, Purdue University, West Lafayette, IN 47907

R. Shoureshi

Colorado School of Mines, Engineering Division, Golden, CO 80401

J. Dyn. Sys., Meas., Control 118(2), 380-386 (Jun 01, 1996) (7 pages) doi:10.1115/1.2802334 History: Received March 24, 1994; Online December 03, 2007


Maneuvering a car around a handling track in minimum time is a challenging task for a driver. The car at high speed is a complex nonlinear Multiple-Input-Multiple-Output dynamic system. A driver must spend many hours learning the skills necessary to control this system proficiently. This complex task is a good test for fuzzy logic control, supporting the premise: humans control complex systems using simple rules. A few fuzzy driving rules are devised to operate on the same inputs and outputs a human driver would use. These rules are encoded in a fuzzy rule base and used to control the system. The resulting fuzzy handling controller is demonstrated in a simulation. A single set of rules is shown to perform well on many different track geometries, illustrating the robustness of the system to a changing environment.

Copyright © 1996 by The American Society of Mechanical Engineers
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