Design of ABS fuzzy sliding mode control system based on pavement recognition

IF 0.8 4区工程技术 Q4 ENGINEERING, MECHANICAL

Transactions of The Canadian Society for Mechanical Engineering Pub Date : 2023-06-02 DOI:10.1139/tcsme-2022-0098

Shuaiwei Zhu, Xiao-bin Fan, Pan Wang, Xinbo Chen

{"title":"Design of ABS fuzzy sliding mode control system based on pavement recognition","authors":"Shuaiwei Zhu, Xiao-bin Fan, Pan Wang, Xinbo Chen","doi":"10.1139/tcsme-2022-0098","DOIUrl":null,"url":null,"abstract":"Abstract: A fuzzy sliding mode variable structure control method based on road surface recognition was proposed to solve the problem that the Anti-lock Braking system (ABS) effect of current ABS algorithm was not ideal on complex road surface. In the road recognition module, real-time estimation of 5 typical road surfaces using fuzzy logic control. Dynamic calculation of optimal slip ratio for different road surfaces based on identified road conditions. Design of ABS sliding mode variable structure controller with optimal slip ratio and actual slip ratio as input. Aiming at the chattering problem of sliding mode control, a fuzzy controller is designed to reduce chattering. An 8-DOF dynamic simulation model of a four-wheel hub motor is established. The effectiveness of the controller is verified by braking simulation experiments on medium and low adhesion road. By comparing the simulation test with the traditional sliding mode controller under the condition of high adhesion road, the suppression effect of the system chattering is verified, and its excellent control performance is proved.","PeriodicalId":23285,"journal":{"name":"Transactions of The Canadian Society for Mechanical Engineering","volume":null,"pages":null},"PeriodicalIF":0.8000,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transactions of The Canadian Society for Mechanical Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1139/tcsme-2022-0098","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}

引用次数: 0

Abstract

Abstract: A fuzzy sliding mode variable structure control method based on road surface recognition was proposed to solve the problem that the Anti-lock Braking system (ABS) effect of current ABS algorithm was not ideal on complex road surface. In the road recognition module, real-time estimation of 5 typical road surfaces using fuzzy logic control. Dynamic calculation of optimal slip ratio for different road surfaces based on identified road conditions. Design of ABS sliding mode variable structure controller with optimal slip ratio and actual slip ratio as input. Aiming at the chattering problem of sliding mode control, a fuzzy controller is designed to reduce chattering. An 8-DOF dynamic simulation model of a four-wheel hub motor is established. The effectiveness of the controller is verified by braking simulation experiments on medium and low adhesion road. By comparing the simulation test with the traditional sliding mode controller under the condition of high adhesion road, the suppression effect of the system chattering is verified, and its excellent control performance is proved.

查看原文本刊更多论文

基于路面识别的ABS模糊滑模控制系统设计

摘要：针对目前ABS算法在复杂路面上的防抱死制动效果不理想的问题，提出了一种基于路面识别的模糊滑模变结构控制方法。在道路识别模块中，采用模糊逻辑控制对5个典型路面进行实时估计。基于已识别的道路条件，动态计算不同路面的最佳滑移率。以最优滑移率和实际滑移率为输入的ABS滑模变结构控制器的设计。针对滑模控制的抖振问题，设计了一种模糊控制器来减少抖振。建立了四轮轮毂电机的8自由度动力学仿真模型。通过中、低附着力路面制动仿真实验验证了控制器的有效性。通过与传统滑模控制器在高附着路面条件下的仿真试验对比，验证了系统对抖振的抑制效果，证明了其良好的控制性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Transactions of The Canadian Society for Mechanical Engineering 工程技术-工程：机械

CiteScore

2.30

自引率

0.00%

发文量

审稿时长

5 months

期刊介绍： Published since 1972, Transactions of the Canadian Society for Mechanical Engineering is a quarterly journal that publishes comprehensive research articles and notes in the broad field of mechanical engineering. New advances in energy systems, biomechanics, engineering analysis and design, environmental engineering, materials technology, advanced manufacturing, mechatronics, MEMS, nanotechnology, thermo-fluids engineering, and transportation systems are featured.