B. Boulkroune, S. V. Aalst, Kris Lehaen, J. D. Smet
{"title":"Observer-based controller with integral action for longitudinal vehicle speed control","authors":"B. Boulkroune, S. V. Aalst, Kris Lehaen, J. D. Smet","doi":"10.1109/IVS.2017.7995739","DOIUrl":null,"url":null,"abstract":"In this paper we consider the design and experimental validation of a longitudinal speed control. An observer-based controller with integral action (OBCI) is designed for Linear parameter-varying (LPV) systems. To deal with system modeling inaccuracies and the perturbation/measurements noises, the controller combines in the design procedure the integral action and H∞ technique. Besides, a modified version of the well-known Young's relation is also used. Furthermore, the control design problem is transformed in a convex optimization problem through a set of Linear Matrix Inequalities (LMIs). The performances of the proposed approach are illustrated through experimental results.","PeriodicalId":143367,"journal":{"name":"2017 IEEE Intelligent Vehicles Symposium (IV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Intelligent Vehicles Symposium (IV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVS.2017.7995739","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
In this paper we consider the design and experimental validation of a longitudinal speed control. An observer-based controller with integral action (OBCI) is designed for Linear parameter-varying (LPV) systems. To deal with system modeling inaccuracies and the perturbation/measurements noises, the controller combines in the design procedure the integral action and H∞ technique. Besides, a modified version of the well-known Young's relation is also used. Furthermore, the control design problem is transformed in a convex optimization problem through a set of Linear Matrix Inequalities (LMIs). The performances of the proposed approach are illustrated through experimental results.