Title :
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
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;
Conference_Titel :
Control Applications, 1996., Proceedings of the 1996 IEEE International Conference on
Conference_Location :
Dearborn, MI
Print_ISBN :
0-7803-2975-9
DOI :
10.1109/CCA.1996.558603
