一种改进的基于极值寻道的汽车防抱死制动自适应模糊滑模控制方案

Q4 Engineering
Wenfei Li, H. Du, Weihua Li
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引用次数: 3

摘要

汽车防抱死制动系统(ABS)旨在优化车辆的制动性能,但其控制存在一些挑战。其中一个挑战是难以实时获得最佳滑移比,并且在不同的道路条件下可能会有所不同。另一个挑战是ABS是非线性的,许多参数很难提前识别。针对这些问题,提出了一种新的基于极值寻优的自适应模糊滑模控制策略。提出的改进的基于滑模的极值搜索算法(MSMES)能够避免大的振荡,并自动搜索最优滑移比。为了模拟理想的控制器,设计了自适应模糊滑模控制器(AFSMC)。仿真结果表明,MSMES-AFSMC综合控制方案不仅能够在不同路况下搜索最优滑移比,而且比传统的COSR ABS具有更好的制动性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A modified extreme seeking-based adaptive fuzzy sliding mode control scheme for vehicle anti-lock braking
Vehicle Anti-lock Braking Systems (ABS) are designed to optimise vehicle braking performance but there are some challenges for their control. One of the challenges is that the optimal slip ratio is difficult to obtain in real time and it can differ under different road conditions. Another challenge is that ABS are non-linear and many of their parameters are difficult to identify in advance. To solve these problems, a new extreme seeking-based adaptive fuzzy sliding mode control strategy is proposed. The proposed Modified Sliding Mode-based Extreme Seeking (MSMES) algorithm is able to avoid the large oscillation and automatically search for the optimal slip ratio. An Adaptive Fuzzy Sliding Mode Controller (AFSMC) is designed to mimic an ideal controller. The simulation results show that the integrated control scheme MSMES-AFSMC is able not only to search for the optimal slip ratio under different road conditions but also has a better braking performance than the conventional COSR for ABS.
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来源期刊
International Journal of Vehicle Autonomous Systems
International Journal of Vehicle Autonomous Systems Engineering-Automotive Engineering
CiteScore
1.30
自引率
0.00%
发文量
0
期刊介绍: The IJVAS provides an international forum and refereed reference in the field of vehicle autonomous systems research and development.
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