Development on Intelligent Controller of Automobile ABS Based on the Slip Ratio

被引：0

作者：

Kang, Wanxin ^{[1
]}

Dong, Xiucheng ^{[1
]}

Sun, Renyun ^{[2
]}

Xu, Yunyun ^{[1
]}

机构：

[1] Xihua Univ, Sichuan Prov Key Lab Signal & Informat Proc, Chengdu 610039, Peoples R China

[2] Xihua Univ, Sch Transportat & Automot Engn, Chengdu 610039, Peoples R China

来源：

2010 INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT (CCCM2010), VOL II | 2010年

关键词：

Automobile ABS; slip ratio; fuzzy control; neural network; genetic algorithm;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

For the optimal slip ratio, this paper adopted intelligent control technology to realize automobile Anti lock control system. First, the two dimensional fuzzy Anti-lock Braking System(ABS) controller was designed, followed by design of the fuzzy neural network ABS controller. Finally the genetic algorithm was adopted to optimize the weights and thresholds of fuzzy neural network. Simulation results show a good anti-lock braking effect can be obtained by adopting the compound intelligent control technology.

引用

页码：266 / 269

页数：4

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