{"title":"一种改进的车辆路面附着系数识别算法","authors":"Fei Gao, Yun-Cen Zhao, Lu Zhang, G. Wang","doi":"10.1109/ICNISC.2017.00055","DOIUrl":null,"url":null,"abstract":"ue to the vehicle road adhesion coefficient recognition is an important subject in research on dynamics and control of vehicle, put forward the improved algorithm to identify each tire of the road adhesion coefficient. Get the vehicle adhesion coefficient in the comprehensive compensation double nonlinearity characterization method of yaw rate deviation and lateral acceleration deviation based on vehicle road adhesion coefficient, the relationship between the vehicle road adhesion coefficient, the vehicle utilization adhesion coefficient, tire utilization adhesion coefficient, and slip rate and the friction coefficient of the slope, identify the adhesion coefficient of each the road tire. Through the Matlab/simulink software to build simulation model, verify the improved algorithm on the low adhesion road. Results show that in the low adhesion road, the improved algorithm can effectively identify each tire adhesion coefficient of road.","PeriodicalId":429511,"journal":{"name":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","volume":"07 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Improved Algorithm for Identifying the Vehicle Road Adhesion Coefficient\",\"authors\":\"Fei Gao, Yun-Cen Zhao, Lu Zhang, G. Wang\",\"doi\":\"10.1109/ICNISC.2017.00055\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ue to the vehicle road adhesion coefficient recognition is an important subject in research on dynamics and control of vehicle, put forward the improved algorithm to identify each tire of the road adhesion coefficient. Get the vehicle adhesion coefficient in the comprehensive compensation double nonlinearity characterization method of yaw rate deviation and lateral acceleration deviation based on vehicle road adhesion coefficient, the relationship between the vehicle road adhesion coefficient, the vehicle utilization adhesion coefficient, tire utilization adhesion coefficient, and slip rate and the friction coefficient of the slope, identify the adhesion coefficient of each the road tire. Through the Matlab/simulink software to build simulation model, verify the improved algorithm on the low adhesion road. Results show that in the low adhesion road, the improved algorithm can effectively identify each tire adhesion coefficient of road.\",\"PeriodicalId\":429511,\"journal\":{\"name\":\"2017 International Conference on Network and Information Systems for Computers (ICNISC)\",\"volume\":\"07 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Network and Information Systems for Computers (ICNISC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNISC.2017.00055\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNISC.2017.00055","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Improved Algorithm for Identifying the Vehicle Road Adhesion Coefficient
ue to the vehicle road adhesion coefficient recognition is an important subject in research on dynamics and control of vehicle, put forward the improved algorithm to identify each tire of the road adhesion coefficient. Get the vehicle adhesion coefficient in the comprehensive compensation double nonlinearity characterization method of yaw rate deviation and lateral acceleration deviation based on vehicle road adhesion coefficient, the relationship between the vehicle road adhesion coefficient, the vehicle utilization adhesion coefficient, tire utilization adhesion coefficient, and slip rate and the friction coefficient of the slope, identify the adhesion coefficient of each the road tire. Through the Matlab/simulink software to build simulation model, verify the improved algorithm on the low adhesion road. Results show that in the low adhesion road, the improved algorithm can effectively identify each tire adhesion coefficient of road.
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