{"title":"混合飞行控制的质量特性估计","authors":"Yang Zhao, Dawei Zhang, Hao Tian, Na Li","doi":"10.1109/ICCMS.2009.55","DOIUrl":null,"url":null,"abstract":"Mass property of space vehicle changes apparently during and after mating and cannot be predicted or measured at times, yet it needs to be accurately known for mated flight control or attitude control and momentum management. A discrete Kalman Filter (KF) based estimation method is developed, measurements of single point acceleration, angular velocity and angular acceleration are employed to extract the inertia matrix and mass center. Simulation results show that the method can be used for continues online estimation without propellant consumption.","PeriodicalId":325964,"journal":{"name":"2009 International Conference on Computer Modeling and Simulation","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Mass Property Estimation for Mated Flight Control\",\"authors\":\"Yang Zhao, Dawei Zhang, Hao Tian, Na Li\",\"doi\":\"10.1109/ICCMS.2009.55\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mass property of space vehicle changes apparently during and after mating and cannot be predicted or measured at times, yet it needs to be accurately known for mated flight control or attitude control and momentum management. A discrete Kalman Filter (KF) based estimation method is developed, measurements of single point acceleration, angular velocity and angular acceleration are employed to extract the inertia matrix and mass center. Simulation results show that the method can be used for continues online estimation without propellant consumption.\",\"PeriodicalId\":325964,\"journal\":{\"name\":\"2009 International Conference on Computer Modeling and Simulation\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Computer Modeling and Simulation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCMS.2009.55\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Computer Modeling and Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCMS.2009.55","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mass property of space vehicle changes apparently during and after mating and cannot be predicted or measured at times, yet it needs to be accurately known for mated flight control or attitude control and momentum management. A discrete Kalman Filter (KF) based estimation method is developed, measurements of single point acceleration, angular velocity and angular acceleration are employed to extract the inertia matrix and mass center. Simulation results show that the method can be used for continues online estimation without propellant consumption.
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