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作 者:陈德政 汪石农 顾黄一 CHEN Dezheng;WANG Shinong;GU Huangyi(School of Electrical Engineering,Anhui Polytechnic University,Wuhu 241000,Anhui China)
机构地区:[1]安徽工程大学电气工程学院,安徽芜湖241000
出 处:《吉首大学学报(自然科学版)》2024年第4期41-49,共9页Journal of Jishou University(Natural Sciences Edition)
基 金:安徽省高校自然科学重点项目(KJ2021A0508)。
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.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.
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