RT Journal Article
T1 Coevolutionary Optimization of a Fuzzy Logic Controller for Antilock Braking Systems Under Changing Road Conditions
A1 Pérez-Fernández, Javier
A1 Alcázar-Vargas, Manuel Gonzalo
A1 Velasco García, Juan María
A1 Cabrera-Carrillo, Juan Antonio
A1 Castillo-Aguilar, Juan Jesús
K1 Frenos
AB An anti-lock brake system based on fuzzy logic has been developed and optimized to cope with changes in adherence road conditions. Conventional control systems have to be tuned by conducting simulations and tests on different surfaces before putting them into use. This way, large amounts of computational and testing times are required. The main objective of this work is to propose a methodology to simplify the process of obtaining a controller for antilock brake systems through a combination of optimization and simulation. To this end, an evolutionary algorithm based on the coevolution of two species has been used to tune the proposed fuzzy logic controller. The controller evolves competitively with the environment to optimize its response to different adherence conditions. Finally, the optimized controller has been implemented in a real motorcycle to compare its performance with a conventional system.
PB IEEE
YR 2021
FD 2021-01-24
LK https://hdl.handle.net/10630/34021
UL https://hdl.handle.net/10630/34021
LA eng
NO Fernandez, J. P., Vargas, M. A., Garcia, J. M. V., Carrillo, J. A. C., & Aguilar, J. J. C. (2021). Coevolutionary Optimization of a Fuzzy Logic Controller for Antilock Braking Systems Under Changing Road Conditions. IEEE Transactions on Vehicular Technology, 70(2), 1255–1268. doi:10.1109/tvt.2021.3055142 
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026