Dynamic H∞ observer for real-time damper force estimation of a semi-active automotive suspension system

Thanh-Phong Pham, O. Sename, H. Dung, Duy Duong Pham
{"title":"Dynamic H∞ observer for real-time damper force estimation of a semi-active automotive suspension system","authors":"Thanh-Phong Pham, O. Sename, H. Dung, Duy Duong Pham","doi":"10.1109/ATiGB50996.2021.9423337","DOIUrl":null,"url":null,"abstract":"This paper presents a dynamic H∞ observer for damper force estimation of a semi-active Electro- Rheological (ER) damper in an automotive suspension system. Firstly, an extended nonlinear quarter-car model is developed to capture the main behaviors (dynamic and nonlinear) of the ER dampers. The dynamic H∞ observer is designed to minimize the effects of unknown disturbances (measurement noises and road profile) on the estimation errors by using an H∞ approach, while the nonlinearity coming from the damper model is satisfied a Lipschitz condition. This new estimation method only uses two low-cost sensors (sprung mass and unsprung mass accelerometers) as the inputs of the proposed observer. Then, the observer is implemented on the INOVE test bench from GIPSA-lab (1/5-scaled real vehicle) to assess experimentally the performances of the approach in real-time. Both simulation and experimental results demonstrate the effectiveness of the proposed observer.","PeriodicalId":6690,"journal":{"name":"2020 Applying New Technology in Green Buildings (ATiGB)","volume":"111 1","pages":"12-17"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Applying New Technology in Green Buildings (ATiGB)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ATiGB50996.2021.9423337","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper presents a dynamic H∞ observer for damper force estimation of a semi-active Electro- Rheological (ER) damper in an automotive suspension system. Firstly, an extended nonlinear quarter-car model is developed to capture the main behaviors (dynamic and nonlinear) of the ER dampers. The dynamic H∞ observer is designed to minimize the effects of unknown disturbances (measurement noises and road profile) on the estimation errors by using an H∞ approach, while the nonlinearity coming from the damper model is satisfied a Lipschitz condition. This new estimation method only uses two low-cost sensors (sprung mass and unsprung mass accelerometers) as the inputs of the proposed observer. Then, the observer is implemented on the INOVE test bench from GIPSA-lab (1/5-scaled real vehicle) to assess experimentally the performances of the approach in real-time. Both simulation and experimental results demonstrate the effectiveness of the proposed observer.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
半主动汽车悬架系统阻尼力实时估计的动态H∞观测器
提出了一种用于汽车悬架系统中半主动电流变阻尼器阻尼力估计的动态H∞观测器。首先,建立了一个扩展的非线性四分之一小车模型,以捕捉电流变阻尼器的主要行为(动态和非线性)。动态H∞观测器采用H∞方法最小化未知干扰(测量噪声和路面轮廓)对估计误差的影响,同时阻尼器模型的非线性满足Lipschitz条件。该方法仅使用两个低成本传感器(簧载质量加速度计和非簧载质量加速度计)作为观测器的输入。然后,在GIPSA-lab(1/5比例的真车)的INOVE试验台上实现了观测器,对该方法的实时性能进行了实验评估。仿真和实验结果均证明了该观测器的有效性。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Organizing Committee Information An Image Processing Based Controller for a Three Degrees of Freedom Robotic Arm Safe Navigation for Indoor Mobile Robot Based on IoT Information Pneumonia Classification in X-ray Images Using Artificial Intelligence Technology A study on the coffeeshop space in Vinh Long City, Vietnam
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1