Optimal fuzzy logic control for an anti-lock braking system

Author

Sobottka, Christian ; Singh, Tarunraj

Author_Institution

Dept. of Mech. & Aerosp. Eng., State Univ. of New York, Buffalo, NY, USA

fYear

1996

fDate

15-18 Sep 1996

Firstpage

49

Lastpage

54

Abstract

This paper presents an optimal 2.5 dimensional fuzzy linguistic controller for an anti-lock braking system. The controller´s rule base and its fuzzy sets are optimized by simulated annealing, a random search optimization algorithm. The excellent performance of the controller is proved by the simulation of a complete emergency braking action on a road surface with a time varying adhesion coefficient. To simulate the behavior of the vehicle body, the equations of motion for a bicycle model are derived

Keywords

automobiles; braking; friction; fuzzy control; fuzzy set theory; intelligent control; optimal control; simulated annealing; anti-lock braking system; automobile; bicycle model; fuzzy linguistic controller; fuzzy rule base; optimal control; random search optimization; simulated annealing; time varying adhesion coefficient; Adhesives; Control system synthesis; Control systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Optimal control; Roads; Simulated annealing;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Applications, 1996., Proceedings of the 1996 IEEE International Conference on

Conference_Location

Dearborn, MI

Print_ISBN

0-7803-2975-9

Type

conf

DOI

10.1109/CCA.1996.558603

Filename

558603