{"title":"基于飞行试验数据的航天器结构动力学参数估计","authors":"J.L. Sun, K. Kessler","doi":"10.1109/CDC.1988.194434","DOIUrl":null,"url":null,"abstract":"The authors describe a technique in which measurements from only two sensors are used in estimating the structural bending modes as well as the forced harmonics of a large space structure. A step-by-step approach is used to identify structural flexing via the filter error method of the maximum-likelihood formulation with a minimum number of sensors. The methodology was applied to actual spacecraft flight data and satisfactory results were obtained.<<ETX>>","PeriodicalId":113534,"journal":{"name":"Proceedings of the 27th IEEE Conference on Decision and Control","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Parameter estimation of spacecraft structural dynamics from flight test data\",\"authors\":\"J.L. Sun, K. Kessler\",\"doi\":\"10.1109/CDC.1988.194434\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors describe a technique in which measurements from only two sensors are used in estimating the structural bending modes as well as the forced harmonics of a large space structure. A step-by-step approach is used to identify structural flexing via the filter error method of the maximum-likelihood formulation with a minimum number of sensors. The methodology was applied to actual spacecraft flight data and satisfactory results were obtained.<<ETX>>\",\"PeriodicalId\":113534,\"journal\":{\"name\":\"Proceedings of the 27th IEEE Conference on Decision and Control\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 27th IEEE Conference on Decision and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDC.1988.194434\",\"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 27th IEEE Conference on Decision and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.1988.194434","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parameter estimation of spacecraft structural dynamics from flight test data
The authors describe a technique in which measurements from only two sensors are used in estimating the structural bending modes as well as the forced harmonics of a large space structure. A step-by-step approach is used to identify structural flexing via the filter error method of the maximum-likelihood formulation with a minimum number of sensors. The methodology was applied to actual spacecraft flight data and satisfactory results were obtained.<>