Development of an Expert System for the Analysis of Track Test Data

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.