吉首大学学报(自然科学版) ›› 2024, Vol. 45 ›› Issue (4): 41-49.DOI: 10.13438/j.cnki.jdzk.2024.04.007

• 计算机与自动化 • 上一篇    下一篇

汽车ABS模糊变结构控制设计

陈德政,汪石农,顾黄一   

  1. (安徽工程大学电气工程学院,安徽 芜湖 241000)
  • 出版日期:2024-07-25 发布日期:2024-07-23
  • 作者简介:陈德政(1999—),男,安徽繁昌人,安徽工程大学电气工程学院硕士研究生,主要从事检测技术与自动化研究
  • 基金资助:
    安徽省高校自然科学重点项目(KJ2021A0508)

Automobile Anti-Lock Brake System Fuzzy Variable Structure Control

CHEN Dezheng,WANG Shinong,GU Huangyi   

  1. (School of Electrical Engineering,Anhui Polytechnic University,Wuhu 241000,Anhui China)
  • Online:2024-07-25 Published:2024-07-23

摘要:针对汽车制动过程中防抱死制动系统(ABS)存在的难以充分利用地面附着系数和高度非线性的问题,提出了一种基于路面识别的ABS模糊变结构控制策略。利用Burckhardt轮胎模型设计路面识别算法,并通过模糊变结构控制调节路面识别算法识别出的最优滑移率。仿真实验结果表明,路面识别算法响应速度快、准确率高;在跃变路面条件下,模糊变结构控制比变结构控制的制动时间减少7%,制动距离缩短6%,控制器输出的抖振幅度得到有效削弱.

关键词: 防抱死制动系统, 路面识别, 模糊变结构控制, 最优滑移率

Abstract: For the problem of insufficient use of the ground adhesion coefficient and high nonlinearity of the Anti-lock Braking System (ABS) in the process of automobile braking,a road surface recognition algorithm is designed based on Burckhardt's tyre model,and the optimal slip rate detected by the road surface recognition algorithm is fed into the fuzzy variable structure control,so as to propose a fuzzy variable structure control strategy for ABS based on road surface detection.The results of the simulation experiments show that the road surface recognition algorithm has  fast response and high accuracy;under the conditions of variational road surface,the fuzzy variable structure control reduces the braking time by 7% and the braking distance by 6% compared with the variable structure control,and the amplitude of the jitter vibration of the controller output is effectively attenuated.

Key words: anti-lock brake system, road surface recognition, fuzzy variable structure control, optimal slip ratio

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