Skip to main content
SpringerLink
Log in

The Study of Braking Performance of Automobile ABS Based on Fuzzy Control Algorithm

  • Conference paper
Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 66))

Abstract

The paper builds the whole vehicle dynamical model using ADAMS/Car software, and the Hydraulic System and ABS fuzzy control model are built using MATLAB/Simulink, both of the above construct the co-simulation model. under the initial vehicle velocities in 60km/h and on high adhesion coefficient roads using fuzzy control algorithm are analyzed. Fuzzy control algorithm can get better effects as the results of simulation test shows, which have reference to develop the practical electronic Control unit based on fuzzy control algorithm.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 389.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 499.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Jun, C.: Guards against based on the fuzzy control method holds the braking system research. Beijing: Automotive engineering, Mr., 50–53 (1997)

    Google Scholar 

  • Konghui, G., Huiyi, W.: The fuzzy control guards against in the brake holds in the system application. Beijing: The design calculation research, Mr. 8(3), 7–10 (2000)

    Google Scholar 

  • Layne, J.R., Passio, K.M., Yurkovich, S.: Fuzzy learning control for antiskid braking systems. IEEE Trans. Constr.syst.Technol. 1, 122–129 (1993)

    Article  Google Scholar 

  • Li: explains every. Based on path automatic diagnosis ABS fuzzy control system research. Beijing: Farm machinery journal 32(5), 26–29 (2001)

    Google Scholar 

  • Li: The vehicles ABS control system fast development studies. Shanghai: Shanghai Jiaotong University doctorate paper (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Kunming University of Science and Technology,  

    Cheng Jianming, Li Min, Feng Kaige & Zhan Yu

Authors
  1. Cheng Jianming
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Li Min
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Feng Kaige
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Zhan Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, China

    George Q. Huang  & K. L. Mak  & 

  2. Dept. Mechanical Engineering, University of Bath, BA2 7AY, Bath, United Kingdom

    Paul G. Maropoulos

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Jianming, C., Min, L., Kaige, F., Yu, Z. (2010). The Study of Braking Performance of Automobile ABS Based on Fuzzy Control Algorithm. In: Huang, G.Q., Mak, K.L., Maropoulos, P.G. (eds) Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology. Advances in Intelligent and Soft Computing, vol 66. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10430-5_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-10430-5_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10429-9

  • Online ISBN: 978-3-642-10430-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation