Real Vehicle Test Research of Anti-Lock Based on Fuzzy Control Algorithm

Article Preview

Abstract:

To control the dynamic system, fuzzy control adopts the human brain intelligent reasoning methods, adheres to strict control rules. Compared with other ABS control method, it has good robustness, the characteristics of simple and practical, applicable to a variable and nonlinear ABS control system. In this paper, the fuzzy algorithm was used in ABS system of real car and tested at cold season, completed the ice road surface and the concrete road surface test. We have analyzed the test results in detail.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

222-225

Citation:

Online since:

June 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Chen Jiong, Wang HuiYi, Song Jian. Based on slip ratio and deceleration of ABS fuzzy control simulation study. Automotive engineering, 2006. 02.

Google Scholar

[2] Li Lin, Li ZhongXing, Chen KunShan. Analysis and simulation of automobile ABS fuzzy control method. Journal of Jiangsu University (natural science edition), 2003. 05.

Google Scholar

[3] Yin AnDong, Liu ShanShan, Yan YaoShuang. Simulation of automobile ABS fuzzy control based on road recognition. Mechanical and electrical engineering, 2009. 01.

Google Scholar

[4] Zhou Dong, Zhang Li etc. Automobile ABS logic threshold control algorithm of real vehicle test results analysis. Industrial control technology, 2011. 01.

Google Scholar

[5] Wang BaoHua, Tao JianMing. ABS fuzzy control research. Hubei University of Automotive Technology, 2000. 10.

Google Scholar

[6] Zhou JianYou. Experimental research on automotive anti-lock braking system control. South China University of Technology, 2007. 06.

Google Scholar