Optimal slip estimator-based fixed-time control for anti-lock braking system in electric vehicles

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Authors

  • Pham Xuan Duc School of Electrical and Electronics Engineering, Hanoi University of Science and Technology
  • Nguyen The Anh School of Electrical and Electronics Engineering, Hanoi University of Science and Technology
  • Dam Huu Manh School of Electrical and Electronics Engineering, Hanoi University of Science and Technology
  • Nguyen Xuan Nam School of Electrical and Electronics Engineering, Hanoi University of Science and Technology
  • Nguyen Tung Lam School of Electrical and Electronics Engineering, Hanoi University of Science and Technology
  • Le Duc Thinh (Corresponding Author) Faculty of Electrical and Electronics Engineering, Thuyloi University

DOI:

https://doi.org/10.54939/1859-1043.j.mst.100.2024.22-30

Keywords:

Anti-lock braking system; Fixed-time control; Global Sliding Mode Control; Optimal slip estimator.

Abstract

The Anti-lock Braking System (ABS) is a safety system that prevents the wheels from locking during emergency braking, ensuring the driver can maintain control of the vehicle and optimize braking distance. Therefore, research and experimentation on a robust nonlinear controller applicable to this system are highly important and necessary. This study proposes a Fixed-Time Control (FTC) strategy, aiming to converge the slip deviation within a predetermined time interval calculated in advance. The research also suggests an optimal slip estimator combined with the controller to enhance system robustness when the vehicle operates under different road conditions. Global Sliding Mode Control (GSMC) is introduced for comparison with the proposed controller. Simulation results using CarSim software combined with MATLAB/ Simulink have demonstrated the feasibility of the system.

References

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Published

25-12-2024

How to Cite

Phạm Xuân Đức, Nguyễn Thế Anh, Đàm Hữu Mạnh, Nguyễn Xuân Nam, Nguyễn Tùng Lâm, and Lê Đức Thịnh. “Optimal Slip Estimator-Based Fixed-Time Control for Anti-Lock Braking System in Electric Vehicles”. Journal of Military Science and Technology, vol. 100, no. 100, Dec. 2024, pp. 22-30, doi:10.54939/1859-1043.j.mst.100.2024.22-30.

Issue

Vol. 100 (2024)

Section

Electronics & Automation

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