Skip to main content

Fuzzy PID Control and Simulation Analysis of Cruise Control System

  • Conference paper
Information and Automation (ISIA 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 86))

Included in the following conference series:

Abstract

Considering the running situation of automobile being complex and variable frequently, and cruise control system(CCS) having high nonlinearity and nondeterminacy, it will not obtain a good effect in all the conditions by using the method of traditional PID control. A new kind of CCS is designed based on fuzzy PID. The simulation model of dynamics system is established. By dealing with the subject functions and adjusting rules of parameters, the table of fuzzy matrix of PID parameters had been got. Adjusted the control parameters, we made a simulation contrast of the system based on fuzzy PID control and traditional PID control. The simulation results indicate the fuzzy PID controller has a better effect in keeping the speed steady.

Supported by the Key Project of Chinese Ministry of Education (No.: 208037); Scientific Research Fund of Heilongjiang Provincial Education Department (No.:11551072).

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

  1. Bifulco, G.N.: Experiments toward a Human-like Adaptive Cruise Control. In: 2008 Intelligent Vehicles Symposium, pp. 919–924. IEEE Press, Eindhoven (2008)

    Chapter  Google Scholar 

  2. Ko, S., Lee, J.: Fuzzy Logic Based Adaptive Cruise Control with Guaranteed String Stability. In: 2007 International Conference on Control, Automation and System, pp. 15–20. IEEE Press, Seoul (2007)

    Google Scholar 

  3. Khan, A.A., Papal, N.: Fuzzy-PID controller: Design, Tuning and Comparison with Conventional PID Controller (2006)

    Google Scholar 

  4. Li, H.-X., Zhang, L., Cai, K.-Y., Chen, G.: An Improved Robust Fuzzy-PID Controller with Optimal Fuzzy Reasoning. IEEE Trans. Syst. 35 (2006)

    Google Scholar 

  5. Echegaray, S.: The Modular Design and Implementation of an Intelligent Cruise Control System. In: 19th International Conference on Systems Engineering, pp. 1–6. IEEE Press, Las Vegas (2008)

    Google Scholar 

  6. Kljuno, E., Williams II, R.L.: Vehicle Simulation System: Controls and Virtual- Reality- Based Dynamics Simulation, pp. 79–99 (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zhou, M., Sun, J., Gao, H., Wang, X. (2011). Fuzzy PID Control and Simulation Analysis of Cruise Control System. In: Qi, L. (eds) Information and Automation. ISIA 2010. Communications in Computer and Information Science, vol 86. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19853-3_42

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-19853-3_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19852-6

  • Online ISBN: 978-3-642-19853-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics