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  • 标题:Enhanced AOCS verification techniques for Euclid's high-pointing performance*
  • 本地全文:下载
  • 作者:D. Navarro-Tapia ; A. Marcos ; J. Veenman
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:25
  • 页码:91-96
  • DOI:10.1016/j.ifacol.2022.09.329
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper presents an enhanced Verification and Validation (V&V) framework accompanied by dedicated tools that allows to analytically evaluate pointing error performance of high-pointing accuracy missions in the presence of disturbances and uncertainties. The proposed analysis approach poses the V&V problem in the robust control framework using linear fractional transformation modelling theory (to include model uncertainties) and frequency dependent weighting functions (to capture the spectral properties of the disturbances and the pointing error performance metrics), and is based on the structured singular value approach as well as the integral quadratic constraint (IQC) framework. The validity of this formal approach is exemplified through the verification of the stringent pointing performance of the Euclid mission during the science observation phase. The results show that the proposed enhanced V&V approach is capable of providing certificates for robust stability and performance for all modelled uncertainties.
  • 关键词:KeywordsRobust controlIQCVerificationValidationAOCSEuclid
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