Sliding mode controller employing RBF-ANN for vehicle anti-lock braking system
Üst veriTüm öğe kaydını göster
KünyeMao, Y. E., Stojanovski, G. S., Jing, Y., Stankovski, M. J., & Dimirovski, G. M. (2010). Sliding mode controller employing RBF-ANN for vehicle anti-lock braking system. In 2010 14th International Power Electronics and Motion Control Conference (EPE/PEMC) (pp. T10-55- T10-60). Piscataway, NJ: IEEE. http://dx.doi.org/10.1109/EPEPEMC.2010.5606626
A sliding mode controller employing the RBF neural network is designed for the anti-lock braking system in automotive technology according to the requirement that the braking process must be fast and robust. The usual drawback of control chattering occurred in the classical sliding mode control can be alleviated with the proposed control scheme. Also the robustness of adaptive control system employing neural network is improved to some extent. Simulation investigation for scenario of vehicle activating brakes on dry road situation is carried out using Matlab/Simulink platform. Simulation results demonstrate both feasibility and effectiveness of the proposed ABS control scheme.