M. Zhimin, Li Youde, Chu Liang, Liu Di, Zhao Ziliang
{"title":"车辆悬架自整定控制","authors":"M. Zhimin, Li Youde, Chu Liang, Liu Di, Zhao Ziliang","doi":"10.1109/IVEC.1999.830623","DOIUrl":null,"url":null,"abstract":"This paper describes a self-tuning control strategy and algorithms for vehicle suspension design. The controller design, using generalised minimum variance control theory, is adapted to the changes of road input and the variations of vehicle parameters, in order to provide optimal control in different conditions. The results of simulations showed the feasibility and effectiveness of the approaches.","PeriodicalId":191336,"journal":{"name":"Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)","volume":"50 47","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Self-tuning control of vehicle suspension\",\"authors\":\"M. Zhimin, Li Youde, Chu Liang, Liu Di, Zhao Ziliang\",\"doi\":\"10.1109/IVEC.1999.830623\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a self-tuning control strategy and algorithms for vehicle suspension design. The controller design, using generalised minimum variance control theory, is adapted to the changes of road input and the variations of vehicle parameters, in order to provide optimal control in different conditions. The results of simulations showed the feasibility and effectiveness of the approaches.\",\"PeriodicalId\":191336,\"journal\":{\"name\":\"Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)\",\"volume\":\"50 47\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IVEC.1999.830623\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVEC.1999.830623","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper describes a self-tuning control strategy and algorithms for vehicle suspension design. The controller design, using generalised minimum variance control theory, is adapted to the changes of road input and the variations of vehicle parameters, in order to provide optimal control in different conditions. The results of simulations showed the feasibility and effectiveness of the approaches.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
