{"title":"基于干扰视角的高速车辆爆胎危险逃逸策略","authors":"Hao Li, M. Yue, Ru-Feng Zhang, C. Fang","doi":"10.1109/CVCI51460.2020.9338503","DOIUrl":null,"url":null,"abstract":"This paper mainly studies a harzard escaping strategy for high speed vehicle during tire blowout from the viewpoint of interference. Firstly, a harzard escaping strategy is proposed, mainly concerning with three stages, such as lane keeping, lane changing and emergency braking. Secondly, a vehicle stability controller is designed based on the model predictive control (MPC), which can deal with multiple constraint problem. Thirdly, external interference is employed to simulate the tire blowout of the vehicle at first time. Finally, the effectiveness of the escaping strategy and controller proposed is verified by the Simulink/CarSim co-simulation platform.","PeriodicalId":119721,"journal":{"name":"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Harzard Escaping Strategy for High Speed Vehicle During Tire Blowout From the Viewpoint of Interference*\",\"authors\":\"Hao Li, M. Yue, Ru-Feng Zhang, C. Fang\",\"doi\":\"10.1109/CVCI51460.2020.9338503\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper mainly studies a harzard escaping strategy for high speed vehicle during tire blowout from the viewpoint of interference. Firstly, a harzard escaping strategy is proposed, mainly concerning with three stages, such as lane keeping, lane changing and emergency braking. Secondly, a vehicle stability controller is designed based on the model predictive control (MPC), which can deal with multiple constraint problem. Thirdly, external interference is employed to simulate the tire blowout of the vehicle at first time. Finally, the effectiveness of the escaping strategy and controller proposed is verified by the Simulink/CarSim co-simulation platform.\",\"PeriodicalId\":119721,\"journal\":{\"name\":\"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CVCI51460.2020.9338503\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CVCI51460.2020.9338503","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Harzard Escaping Strategy for High Speed Vehicle During Tire Blowout From the Viewpoint of Interference*
This paper mainly studies a harzard escaping strategy for high speed vehicle during tire blowout from the viewpoint of interference. Firstly, a harzard escaping strategy is proposed, mainly concerning with three stages, such as lane keeping, lane changing and emergency braking. Secondly, a vehicle stability controller is designed based on the model predictive control (MPC), which can deal with multiple constraint problem. Thirdly, external interference is employed to simulate the tire blowout of the vehicle at first time. Finally, the effectiveness of the escaping strategy and controller proposed is verified by the Simulink/CarSim co-simulation platform.