RT Conference Proceedings
T1 Advanced traction  control sytem for motorbikes
A1 Castillo-Aguilar, Juan Jesús
A1 Cabrera-Carrillo, Juan Antonio
K1 Motocicletas
AB Traction control systems are a fundamental active safetyequipment of vehicles; they control wheel slip when excessivetorque is applied on driving wheels, helping the driver to bringthe vehicle under control and improving handling and stabilitywhen starting or accelerating and especially under poor orslippery road conditions. The aim of this work is to develop aparameter estimation block for further development of anintelligent traction control system. To evaluate the performanceof the proposed estimation algorithm, estimated variables arecompared making use of BikeSim 2.0 ®. Parameter estimationwas performed using an extended Kalman filter optimizedusing genetic algorithms. Using an artificial neural network, theslip that maximizes the tire-road friction coefficient isidentified.
YR 2013
FD 2013-11-29
LK http://hdl.handle.net/10630/6705
UL http://hdl.handle.net/10630/6705
LA eng
NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026