{"title":"利用GPS估计轮胎转弯刚度,改进基于模型的车辆状态估计","authors":"R. Anderson, D. Bevly, I. M O D U C T L O N","doi":"10.1109/IVS.2005.1505203","DOIUrl":null,"url":null,"abstract":"This paper demonstrates a method of obtaining key vehicle states using GPS and INS measurements with an adaptive model based estimator. A dual antenna GPS attitude system is used to estimate tire cornering stiffness. This estimated parameter is updated in the estimator model to provide more accurate estimates of the vehicle states. The experimental results for the estimate of sideslip and yaw rate using the updated estimator model compare favorable to values predicted by the theoretical model.","PeriodicalId":386189,"journal":{"name":"IEEE Proceedings. Intelligent Vehicles Symposium, 2005.","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"53","resultStr":"{\"title\":\"Estimation of tire cornering stiffness using GPS to improve model based estimation of vehicle states\",\"authors\":\"R. Anderson, D. Bevly, I. M O D U C T L O N\",\"doi\":\"10.1109/IVS.2005.1505203\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper demonstrates a method of obtaining key vehicle states using GPS and INS measurements with an adaptive model based estimator. A dual antenna GPS attitude system is used to estimate tire cornering stiffness. This estimated parameter is updated in the estimator model to provide more accurate estimates of the vehicle states. The experimental results for the estimate of sideslip and yaw rate using the updated estimator model compare favorable to values predicted by the theoretical model.\",\"PeriodicalId\":386189,\"journal\":{\"name\":\"IEEE Proceedings. Intelligent Vehicles Symposium, 2005.\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"53\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Proceedings. Intelligent Vehicles Symposium, 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IVS.2005.1505203\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Proceedings. Intelligent Vehicles Symposium, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVS.2005.1505203","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimation of tire cornering stiffness using GPS to improve model based estimation of vehicle states
This paper demonstrates a method of obtaining key vehicle states using GPS and INS measurements with an adaptive model based estimator. A dual antenna GPS attitude system is used to estimate tire cornering stiffness. This estimated parameter is updated in the estimator model to provide more accurate estimates of the vehicle states. The experimental results for the estimate of sideslip and yaw rate using the updated estimator model compare favorable to values predicted by the theoretical model.