Neuro-Adaptive Control Method for Antilock Braking Systems

被引：2
|
作者：
Zhang, Ran [1 ]
Weng, Liguo [1 ]
Cai, Wenchuan [1 ]
Song, Y. D. [1 ]
机构：
[1] N Carolina Agr & Tech State Univ, Ctr Cooperat Syst, Greensboro, NC 27411 USA
来源：
2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 | 2008年
关键词：
D O I：
10.1109/WCICA.2008.4593379
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The braking effectiveness of antilock braking system (ABS) could be degraded for rough road conditions (e.g., icy/snowy roads). In this work, a neuro-adaptive control design method is proposed for improving the performance of ABS. A neuro-adaptive unit is constructed to compensate external disturbances and uncertain dynamics due to road condition variation. This method does not involve analytical estimation of the upper bound on the reconstruction error and lumped uncertainties of the system, simplifying the design process and online computation. The performance of the developed control scheme is verified via simulation.
引用
收藏
页码：2859 / 2863
页数：5
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