Development of an Expert System for the Analysis of Track Test Data Department of Mechanical Engineering, Clemson University

Format:

Book

Conference/Event

Author/Creator:

Vaduri, Sunder, author.

Conference Name:

SAE 2000 Automotive Dynamics & Stability Conference (2000-05-15 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2000

Summary:

This paper describes the development of an expert system implemented in MATLAB that can identify various handling characteristics of interest by evaluating racecar track test data. The program quickly scans the data obtained during a track test and helps the race team by pinpointing those parts of the data that indicate oversteer and understeer events. Towards this goal, algorithms utilizing fuzzy logic were developed for the identification of the oversteer and understeer events. The details of these algorithms are given in this paper. The algorithms were successful in identifying these handling characteristics in actual track data. Examples for each of the cases are presented

Notes:

Vendor supplied data

Publisher Number:

2000-01-1628

Access Restriction:

Restricted for use by site license