Sliding Mode Controller Employing RBF-ANN for Vehicle Anti-Lock Braking System

被引：0
|
作者：
Mao, Yan-e [1 ,2 ]
Stojanovski, Goran [3 ]
Jing, Yuanwei [1 ]
Stankovski, Mile J. [3 ]
Dimirovski, Georgi M. [3 ,4 ]
机构：
[1] Northeastern Univ, Shenyang, Peoples R China
[2] Inst Aeronaut Engn, Shenyang, Peoples R China
[3] SS Cyril Methodius Univ, FEIT, Skopje, North Macedonia
[4] Dogus Univ, Comp Eng & Cont Eng, Istanbul, Turkey
来源：
PROCEEDINGS OF 14TH INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE (EPE-PEMC 2010) | 2010年
关键词：
Automotive application; automotive component; automotive electronics; control methods for electrical systems; emerging technology; neural network; sliding mode control; DESIGN;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
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页数：6
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