{"title":"自动驾驶汽车传感器容错控制策略","authors":"M. Boukhari, A. Chaibet, M. Boukhnifer, S. Glaser","doi":"10.1109/SSD.2016.7473761","DOIUrl":null,"url":null,"abstract":"This paper is dedicated to the sensor fault tolerant control scheme for autonomous vehicle driving. The nonlinear lateral vehicle model is described by the fuzzy Takagi-Sugeno (TS) model. The contributions aspects of this work consist of the development of a descriptor observer to estimate the state system and faults by ensuring robustness against external disturbances. The gains of this observer are obtained by solving the LMI constraints, which are developed using a L2 gain technique and H∞ criterion. Indeed, the proposed fault tolerant control strategy is justified by its ability to maintain an acceptable performance in the presence of the sensor failure. Simulation results are addressed to demonstrate the capability of this fault tolerant control to counteract the effect of the sensor fault.","PeriodicalId":149580,"journal":{"name":"2016 13th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Sensor fault tolerant control strategy for autonomous vehicle driving\",\"authors\":\"M. Boukhari, A. Chaibet, M. Boukhnifer, S. Glaser\",\"doi\":\"10.1109/SSD.2016.7473761\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper is dedicated to the sensor fault tolerant control scheme for autonomous vehicle driving. The nonlinear lateral vehicle model is described by the fuzzy Takagi-Sugeno (TS) model. The contributions aspects of this work consist of the development of a descriptor observer to estimate the state system and faults by ensuring robustness against external disturbances. The gains of this observer are obtained by solving the LMI constraints, which are developed using a L2 gain technique and H∞ criterion. Indeed, the proposed fault tolerant control strategy is justified by its ability to maintain an acceptable performance in the presence of the sensor failure. Simulation results are addressed to demonstrate the capability of this fault tolerant control to counteract the effect of the sensor fault.\",\"PeriodicalId\":149580,\"journal\":{\"name\":\"2016 13th International Multi-Conference on Systems, Signals & Devices (SSD)\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 13th International Multi-Conference on Systems, Signals & Devices (SSD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSD.2016.7473761\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 13th International Multi-Conference on Systems, Signals & Devices (SSD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSD.2016.7473761","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sensor fault tolerant control strategy for autonomous vehicle driving
This paper is dedicated to the sensor fault tolerant control scheme for autonomous vehicle driving. The nonlinear lateral vehicle model is described by the fuzzy Takagi-Sugeno (TS) model. The contributions aspects of this work consist of the development of a descriptor observer to estimate the state system and faults by ensuring robustness against external disturbances. The gains of this observer are obtained by solving the LMI constraints, which are developed using a L2 gain technique and H∞ criterion. Indeed, the proposed fault tolerant control strategy is justified by its ability to maintain an acceptable performance in the presence of the sensor failure. Simulation results are addressed to demonstrate the capability of this fault tolerant control to counteract the effect of the sensor fault.