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Robust Adaptive Anti-lock Braking Controller Design

  • Lu Xiong
  • Xing Yang
  • Bo LengEmail author
  • Guirong Zhuo
Conference paper
  • 5 Downloads
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

To ensure steering ability and maximize tire-road friction, a robust wheel slip controller is developed for antilock braking system, which is also adaptive to different road conditions. Aiming at the problem of vehicle velocity estimation, a dynamic and kinematic fusion method is proposed. Meanwhile, a non-affine parameter estimator is adopted to estimate road condition using improved Burckhardt model, the optimal target slip ratio is adaptive adjusted according to the estimate road condition. Then conditional integration method is used to make the wheel slip ratio converge to the desired value considering the uncertainty of parameters and constraints of actuators. Finally, simulation results under multi working conditions show that the proposed control approach is adaptive to road change and good performance is achieved that can prevent wheels from locking effectively.

Keywords

Anti-lock braking system Vehicle velocity estimation Optimal slip ratio estimation Slip ratio control 

Notes

Acknowledgement

This research is supported by ‘Nation key Research and Development Program of China’ (Grant No. 2018YFB0105804), ‘Nation key Research and Development Program of China’ (Grant No. 2018YFB0104805) and the International Exchange Program for Graduate Students, Tongji University.

References

  1. 1.
    Wei, Z., Xuexun, G.: An ABS control strategy for commercial vehicle. IEEE/ASME Trans. Mechatron. 20(1), 384–392 (2015)CrossRefGoogle Scholar
  2. 2.
    Mirzaei, A., Moallem, M., Dehkordi, B.M., et al.: Design of an optimal fuzzy controller for antilock braking systems. IEEE Trans. Veh. Technol. 55(6), 1725–1730 (2006)CrossRefGoogle Scholar
  3. 3.
    Shim, T., Chang, S., Lee, S.: Investigation of sliding-surface design on the performance of sliding mode controller in antilock braking systems. IEEE Trans. Veh. Technol. 57(2), 747–759 (2008)CrossRefGoogle Scholar
  4. 4.
    Xia, X., Xiong, L., Sun, K., et al.: Estimation of maximum road friction coefficient based on Lyapunov method. Int. J. Automot. Technol. 17(6), 991–1002 (2016)CrossRefGoogle Scholar
  5. 5.
    Kay, H.S., Khalil, H.K.: Universal controllers with nonlinear integrators. In: 2002 Proceedings of the IEEE American Control Conference, pp. 116–121 (2002)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Lu Xiong
    • 1
    • 2
  • Xing Yang
    • 1
    • 2
  • Bo Leng
    • 1
    • 2
    Email author
  • Guirong Zhuo
    • 1
    • 2
  1. 1.Automotive CollegeTongji UniversityShanghaiChina
  2. 2.Clean Energy Automotive Engineering CenterTongji UniversityShanghaiChina

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