Title :
The sliding mode controller for automotive ABS based on the fuzzy neural network
Author :
Mao, Yan-E ; Zhang, Yifei ; Liu, Tao
Author_Institution :
Sch. of Comput. Sci., Shenyang Inst. of Aeronaut. Eng., Shenyang, China
Abstract :
The sliding mode controller is presented for automotive Anti-lock Braking System (ABS), and the drawback of control chattering occurred in the classical sliding mode control can be alleviated with the proposed control scheme. Moreover, the robustness of neural network adaptive control system can be improved to some extent. Simulation research is performed to the vehicles brake on the wet road situation, and simulation results show the effectiveness and feasibility of the proposed scheme.
Keywords :
adaptive control; automobiles; automotive engineering; braking; fuzzy control; neurocontrollers; traffic control; variable structure systems; adaptive control system; automotive ABS; automotive antilock braking system; chattering; fuzzy neural network; sliding mode controller; Artificial neural networks; Automotive engineering; Friction; Sliding mode control; Vehicles; Wheels; RBF neural network; anti-lock braking system(ABS); automotive; sliding mode control;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5582534
