{"created":"2023-06-20T14:40:42.378245+00:00","id":7622,"links":{},"metadata":{"_buckets":{"deposit":"dd53e1f0-8757-4981-a11d-19fa33bb51de"},"_deposit":{"created_by":1,"id":"7622","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"7622"},"status":"published"},"_oai":{"id":"oai:jaxa.repo.nii.ac.jp:00007622","sets":["1543:1544:1558","1887:1891"]},"author_link":["40834","40833"],"item_5_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2006-03","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"377","bibliographicPageStart":"364","bibliographic_titles":[{"bibliographic_title":"第15回アストロダイナミクスシンポジウム講演後刷り集　2005"},{"bibliographic_title":"Proceedings of 15th Workshop on JAXA Astrodynamics and Flight Mechanics","bibliographic_titleLang":"en"}]}]},"item_5_description_17":{"attribute_name":"抄録（英）","attribute_value_mlt":[{"subitem_description":"This paper presents the nonlinear propagation of orbit uncertainties via solutions of the Fokker-Planck equation. We first derive an analytic expression of a nonlinear trajectory solution by incorporating the higher order Taylor series that describes the localized nonlinear motion, and by solving for the higher order state solution as functions of initial conditions. A systematic way to define the sufficient order of higher order solutions that defines the localized nonlinear motion is also presented. We then solve the Fokker-Planck equation for a deterministic system with a Gaussian boundary condition and discuss how the propagated phase volume and Gaussian statistics characterize the spacecraft orbit uncertainties. The phase volume approach presents the integral invariance of the probability density function, and thus, the probability of the initial confidence region remains the same as it is mapped over time. The statistical method shows that the propagated trajectory uncertainties remain no longer Gaussian in general; however, we can still approximate the first two moments (mean and covariance matrix) to define the true confidence region of the nonlinear system. We utilize the higher order Taylor series solutions to approximate the true nonlinear trajectory statistics and compare with the conventional linear theory and Monte-Carlo simulations to explain its significance. The result shows that the nonlinear solution provides a superior result than the linear solution when the system is under a strong nonlinearity or mapped over a long time span. Moreover, the higher order Taylor series approach becomes essentially the same as the Monte-Carlo result when sufficient order of Taylor series is considered. The two-body and Hill three-body problems are chosen as examples and realistic initial uncertainty models are considered.","subitem_description_type":"Other"}]},"item_5_description_32":{"attribute_name":"資料番号","attribute_value_mlt":[{"subitem_description":"資料番号: AA0063480057","subitem_description_type":"Other"}]},"item_5_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"宇宙航空研究開発機構宇宙科学研究本部"}]},"item_5_publisher_9":{"attribute_name":"出版者（英）","attribute_value_mlt":[{"subitem_publisher":"Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency (JAXA/ISAS)"}]},"item_5_text_6":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"University of Michigan Department of Aerospace Engineering"},{"subitem_text_value":"University of Michigan Department of Aerospace Engineering"}]},"item_5_text_7":{"attribute_name":"著者所属（英）","attribute_value_mlt":[{"subitem_text_language":"en","subitem_text_value":"University of Michigan Department of Aerospace Engineering"},{"subitem_text_language":"en","subitem_text_value":"University of Michigan Department of Aerospace Engineering"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"metadata only access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_14cb"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Park, Ryan S.","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Scheeres, Daniel J.","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ガウス型状態不確実性","subitem_subject_scheme":"Other"},{"subitem_subject":"非線形マッピング","subitem_subject_scheme":"Other"},{"subitem_subject":"状態遷移テンソル","subitem_subject_scheme":"Other"},{"subitem_subject":"STT","subitem_subject_scheme":"Other"},{"subitem_subject":"フォッカー・プランク方程式","subitem_subject_scheme":"Other"},{"subitem_subject":"確率密度関数","subitem_subject_scheme":"Other"},{"subitem_subject":"2体問題","subitem_subject_scheme":"Other"},{"subitem_subject":"3体問題","subitem_subject_scheme":"Other"},{"subitem_subject":"ホーマン遷移軌道","subitem_subject_scheme":"Other"},{"subitem_subject":"数学的解析","subitem_subject_scheme":"Other"},{"subitem_subject":"ガウス分布","subitem_subject_scheme":"Other"},{"subitem_subject":"確率","subitem_subject_scheme":"Other"},{"subitem_subject":"モンテカルロ法","subitem_subject_scheme":"Other"},{"subitem_subject":"Gaussian state uncertainty","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"nonlinear mapping","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"state transition tensor","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"STT","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Fokker-Planck equation","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"probability density function","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"two body problem","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"three body problem","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Hohmann transfer orbit","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"mathematical analysis","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Gaussian distribution","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"probability","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Monte Carlo method","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"conference paper","resourceuri":"http://purl.org/coar/resource_type/c_5794"}]},"item_title":"Nonlinear mapping of Gaussian state uncertainties","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Nonlinear mapping of Gaussian state uncertainties","subitem_title_language":"en"}]},"item_type_id":"5","owner":"1","path":["1558","1891"],"pubdate":{"attribute_name":"公開日","attribute_value":"2015-03-26"},"publish_date":"2015-03-26","publish_status":"0","recid":"7622","relation_version_is_last":true,"title":["Nonlinear mapping of Gaussian state uncertainties"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-06-21T07:36:38.337934+00:00"}