Volume 24 Issue 3
Jun.  2024
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WANG Jun-cheng, LYU Lin-feng, WANG Fa-hui. Anti-lock braking control based on interval type-2 fuzzy logic[J]. Journal of Traffic and Transportation Engineering, 2024, 24(3): 238-250. doi: 10.19818/j.cnki.1671-1637.2024.03.017
Citation: WANG Jun-cheng, LYU Lin-feng, WANG Fa-hui. Anti-lock braking control based on interval type-2 fuzzy logic[J]. Journal of Traffic and Transportation Engineering, 2024, 24(3): 238-250. doi: 10.19818/j.cnki.1671-1637.2024.03.017
shu

Anti-lock braking control based on interval type-2 fuzzy logic

doi: 10.19818/j.cnki.1671-1637.2024.03.017

  • School of Mechanical Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, Zhejiang, China

Funds:

National Natural Science Foundation of China 52205135

More Information
  • Author Bio:

    WANG Jun-cheng(1990-), male, assistant professor, PhD, wangjc90@163.com

  • Received Date: 2023-12-11
    Available Online: 2024-07-18
  • Publish Date: 2024-06-30
    Abstract
  • To cope with the problem of weak anti-interference ability and poor slip ratio control effect when the traditional fuzzy logic anti-lock braking control facing different road surface adhesion coefficients and different ideal slip ratios, an interval type-2 fuzzy logic anti-lock braking control system and method were proposed. The slip ratio error was taken as input of the control system. The interval type-2 fuzzy sets were utilized to describe the slip ratio error and its change rate. Then the ideal braking torque output was obtained after the fuzzification, fuzzy inference, fuzzy type-reduction, and defuzzification. The fuzzy rule activation degree interval was calculated on the premise of fuzzy variables membership degree determined by the upper and lower membership functions. Through this process, the system's anti-interference ability was enhanced, and the accurate slip ratio tracking was ensured. Using the MATLAB/SIMULINK software, the vehicles equipped with the proposed controller and traditional controller were simulated for the anti-lock braking control performance under different road surface adhesion conditions, and the anti-lock hardware-in-the-loop platform was conducted for verification analysis. Research results show that under the interval type-2 fuzzy logic anti-lock braking control, the error mean squares of slip ratios for front and rear wheels of vehicles on the low adhesion coefficient road surface decrease by 52.96% and 57.36%, respectively, the braking distance reduces by 0.24 m, and the braking time declines by 0.04 s. On the middle adhesion coefficient road surface, the error mean squares of slip ratios decrease by 65.15% and 73.32%, respectively, the braking distance reduces by 0.36 m, and the braking time declines by 0.05 s. On the high adhesion coefficient road surface, the error mean squares of slip ratios decrease by 47.20% and 39.57%, respectively, the braking distance reduces by 0.19 m and the braking time declines by 0.02 s. It can be seen that compared with the traditional fuzzy logic anti-lock braking control, the proposed interval type-2 fuzzy logic anti-lock braking control achieves better slip ratio control effects under different braking conditions.

     

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