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.