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Optimal fuzzy logic control for an anti-lock braking system

  • SUNY Buffalo

Research output: Contribution to conferencePaperpeer-review

5 Scopus citations

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.

Original languageEnglish
Pages49-54
Number of pages6
StatePublished - 1996
EventProceedings of the 1996 IEEE International Conference on Control Applications - Dearborn, MI, USA
Duration: Sep 15 1996Sep 18 1996

Conference

ConferenceProceedings of the 1996 IEEE International Conference on Control Applications
CityDearborn, MI, USA
Period09/15/9609/18/96

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