Generalized H 2 observer for road profile estimation in the automotive suspension system.

IF 3.4 3区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Heliyon Pub Date : 2024-10-30 eCollection Date: 2024-11-15 DOI:10.1016/j.heliyon.2024.e39928

Thanh-Phong Pham

{"title":"<ArticleTitle xmlns:ns0=\"http://www.w3.org/1998/Math/MathML\">Generalized <ns0:math> <ns0:msub><ns0:mrow><ns0:mi>H</ns0:mi></ns0:mrow> <ns0:mrow><ns0:mn>2</ns0:mn></ns0:mrow> </ns0:msub> </ns0:math> observer for road profile estimation in the automotive suspension system.","authors":"Thanh-Phong Pham","doi":"10.1016/j.heliyon.2024.e39928","DOIUrl":null,"url":null,"abstract":"<p><p>This study develops a generalized <math> <msub><mrow><mi>H</mi></mrow> <mrow><mn>2</mn></mrow> </msub> </math> observer to estimate the road profile in the semi-active automotive suspension system. The dynamics of the quarter-car model are represented in the descriptor nonlinear parameter-varying system framework, with the road profile as a system's state that is of arbitrary dynamics. Then, a road profile estimation method is designed by using a generalized <math> <msub><mrow><mi>H</mi></mrow> <mrow><mn>2</mn></mrow> </msub> </math> observer, which utilizes the onboard accelerometers as the observer's input. The adverse impact of measurement noises on the accuracy of estimation results is alleviated via the generalized <math> <msub><mrow><mi>H</mi></mrow> <mrow><mn>2</mn></mrow> </msub> </math> framework. The proposed observer is designed by solving an LMI-based constrained optimization problem. Frequency domain analysis and time domain simulations illustrate the efficiency of the proposed strategy.</p>","PeriodicalId":12894,"journal":{"name":"Heliyon","volume":"10 21","pages":"e39928"},"PeriodicalIF":3.4000,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11570510/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Heliyon","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1016/j.heliyon.2024.e39928","RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/11/15 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}

引用次数: 0

Abstract

This study develops a generalized $H_{2}$ observer to estimate the road profile in the semi-active automotive suspension system. The dynamics of the quarter-car model are represented in the descriptor nonlinear parameter-varying system framework, with the road profile as a system's state that is of arbitrary dynamics. Then, a road profile estimation method is designed by using a generalized $H_{2}$ observer, which utilizes the onboard accelerometers as the observer's input. The adverse impact of measurement noises on the accuracy of estimation results is alleviated via the generalized $H_{2}$ framework. The proposed observer is designed by solving an LMI-based constrained optimization problem. Frequency domain analysis and time domain simulations illustrate the efficiency of the proposed strategy.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

用于汽车悬架系统路面轮廓估计的广义 H 2 观察器。

本研究开发了一种广义 H 2 观察器，用于估计半主动汽车悬架系统中的路面轮廓。四分之一汽车模型的动力学在描述符非线性参数变化系统框架中表示，路面轮廓作为系统的状态，具有任意的动力学特性。然后，使用广义 H 2 观察器设计了一种路面轮廓估计方法，该方法利用车载加速度计作为观察器的输入。通过广义 H 2 框架，测量噪声对估计结果准确性的不利影响得以缓解。所提出的观测器是通过解决基于 LMI 的约束优化问题而设计的。频域分析和时域仿真说明了拟议策略的效率。

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

Heliyon MULTIDISCIPLINARY SCIENCES-

CiteScore

4.50

自引率

2.50%

发文量

2793

期刊介绍： Heliyon is an all-science, open access journal that is part of the Cell Press family. Any paper reporting scientifically accurate and valuable research, which adheres to accepted ethical and scientific publishing standards, will be considered for publication. Our growing team of dedicated section editors, along with our in-house team, handle your paper and manage the publication process end-to-end, giving your research the editorial support it deserves.