Table of Contents Author Guidelines Submit a Manuscript
Journal of Control Science and Engineering
Volume 2015, Article ID 512024, 8 pages
http://dx.doi.org/10.1155/2015/512024
Research Article

An Improved Optimal Slip Ratio Prediction considering Tyre Inflation Pressure Changes

1Department of Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024, China
2Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield HD1 3DH, UK

Received 7 August 2015; Revised 2 November 2015; Accepted 10 November 2015

Academic Editor: Petko Petkov

Copyright © 2015 Guoxing Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. G. F. Mauer, “A fuzzy logic controller for an ABS braking system,” IEEE Transactions on Fuzzy Systems, vol. 3, no. 4, pp. 381–388, 1995. View at Publisher · View at Google Scholar · View at Scopus
  2. H. Wang and L. Yang, “Simulation of automotive ABS using fuzzy self-tuning PID control,” Journal of Transportation Systems Engineering and Information Technology, vol. 12, no. 5, pp. 52–56, 2012. View at Google Scholar
  3. W. Zhu and Y. Chen, “Application and simulation of automotive ABS using fuzzy PID control,” Journal of Jiangsu University (National Science Edition), vol. 25, no. 4, pp. 310–314, 2004. View at Google Scholar
  4. V. Ćirović, D. Aleksendrić, and D. Mladenović, “Braking torque control using recurrent neural networks,” Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, vol. 226, no. 6, pp. 754–766, 2012. View at Publisher · View at Google Scholar · View at Scopus
  5. H. Guan, B. Wang, P. Lu, and L. Xu, “Identification of maximum road friction coefficient and optimal slip ratio based on road type recognition,” Chinese Journal of Mechanical Engineering, vol. 27, no. 5, pp. 1018–1026, 2014. View at Publisher · View at Google Scholar
  6. B. Wang, “Simulation of automobile ABS based on online tracking varying optimal slip,” Journal of Hubei Automotive Industries Institute, no. 1, pp. 5–9, 2011. View at Google Scholar
  7. M. Mirzaei and H. Mirzaeinejad, “Optimal design of a non-linear controller for anti-lock braking system,” Transportation Research Part C: Emerging Technologies, vol. 24, pp. 19–35, 2012. View at Publisher · View at Google Scholar · View at Scopus
  8. Z. Liu, “Mathematical models of tire-longitudinal road adhesion and their use in the study of road vehicle dynamics,” Journal of Beijing Institute of Technology, no. 2, pp. 193–204, 1996. View at Google Scholar
  9. M. Bian, “Simplified tire model for longitudinal road friction estimation,” Journal of Chongqing University of Technology (Natural Science), vol. 26, no. 1, pp. 1–5, 2012. View at Google Scholar
  10. H. Pacejka, Tire and Vehicle Dynamics, Elsevier, 2005.
  11. M. Massaro, V. Cossalter, and G. Cusimano, “The effect of the inflation pressure on the tyre properties and the motorcycle stability,” Proceedings of the Institution of Mechanical Engineers D: Journal of Automobile Engineering, vol. 227, no. 10, pp. 1480–1488, 2013. View at Publisher · View at Google Scholar · View at Scopus
  12. K. Parczewski, “Effect of tyre inflation preassure on the vehicle dynamics during braking manouvre,” Eksploatacja i Niezawodnosc, vol. 15, no. 2, pp. 134–139, 2013. View at Google Scholar · View at Scopus
  13. H. Taghavifar and A. Mardani, “Investigating the effect of velocity, inflation pressure, and vertical load on rolling resistance of a radial ply tire,” Journal of Terramechanics, vol. 50, no. 2, pp. 99–106, 2013. View at Publisher · View at Google Scholar · View at Scopus
  14. I. J. M. Besselink, A. J. C. Schmeitz, and H. B. Pacejka, “An improved Magic Formula/Swift tyre model that can handle inflation pressure changes,” Vehicle System Dynamics, vol. 48, supplement 1, pp. 337–352, 2010. View at Publisher · View at Google Scholar · View at Scopus