RT Conference Proceedings
T1 An Intelligent Traction Control for Motorcycles
A1 Cabrera-Carrillo, Juan Antonio
A1 Urda Gómez, Pedro
A1 Castillo-Aguilar, Juan Jesús
A1 Guerra-Fernández, Antonio Jesús
K1 Ingeniería mecánica
AB The appearance of anti-lock braking systems (ABS) and traction control systems(TCS) have been some of the most major developments in vehicle safety. These systems havebeen evolving since their origin, always keeping the same objective, by using increasinglysophisticated algorithms and complex brake and torque control architectures. The aim of thiswork is to develop and implement a new control model of a traction control system to beinstalled on a motorcycle, regulating the slip in traction and improving dynamic performance oftwo-wheeled vehicles. This paper presents a novel traction control algorithm based on the use ofArtificial Neural Networks (ANN) and Fuzzy Logic. An ANN is used to estimate the optimalslip of the surface the vehicle is moving on. A fuzzy logic control block, which makes use of theoptimal slip provided by the ANN, is developed to control the throttle position. Two controlblocks have been tuned. The first control block has been tuned according to the experience of anexpert operator. The second one has been optimized using Evolutionary Computation (EC).Simulation shows that the use of EC can improve the fuzzy logic based control algorithm,obtaining better results than those produced with the control tuned only by experience.
YR 2015
FD 2015-09-03
LK http://hdl.handle.net/10630/10207
UL http://hdl.handle.net/10630/10207
LA eng
NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026