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David W. Miller. Hoff, Nicholas R Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics 2007-12-07T16:10:01Z 2007-12-07T16:10:01Z 2007 2007 http://hdl.handle.net/1721.1/39704 176870471 Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2007. Includes bibliographical references (p. 101-103). Modularity is a promising design concept for space systems. In a modular satellite, the individual subsystems would be broken down into physically distinct modules, which would then dynamically recombine into an aggregate vehicle. This could improve the flexibility and reusability of satellites, and could even enable some mission objectives which are not possible at all with monolithic vehicles. However, modularity requires that some additional new elements be included in the design that are not needed with a monolithic satellite. Two of these are a docking interface to allow modules to attach, and a position measurement system to allow modules to fly accurately in formation and dock with each other. These two additional elements are explored in this thesis. The central focus is on a relative state estimator based on an extended Kalman filter. The estimator is first presented theoretically, then the results of implementation and hardware testing are discussed. This thesis presents two main hardware applications for the estimator, both of which mirror prime space-based applications of modularity itself: docking and formation maintenance/reconfiguration. by Nicholas R. Hoff, III. S.M. 103 p. eng Massachusetts Institute of Technology M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 Aeronautics and Astronautics. Design and implementation of a relative state estimator for docking and formation control of modular autonomous spacecraft Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="0a2267c5-b105-4729-95ba-949fc0f7f4b9"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Design and implementation of a relative state estimator for docking and formation control of modular autonomous spacecraft</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2007</PublicationDate> <Authors> <Author> <DisplayName>Hoff, Nicholas R</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Aeronautics and Astronautics.</Keyword> <Abstract>Modularity is a promising design concept for space systems. In a modular satellite, the individual subsystems would be broken down into physically distinct modules, which would then dynamically recombine into an aggregate vehicle. This could improve the flexibility and reusability of satellites, and could even enable some mission objectives which are not possible at all with monolithic vehicles. However, modularity requires that some additional new elements be included in the design that are not needed with a monolithic satellite. Two of these are a docking interface to allow modules to attach, and a position measurement system to allow modules to fly accurately in formation and dock with each other. These two additional elements are explored in this thesis. The central focus is on a relative state estimator based on an extended Kalman filter. The estimator is first presented theoretically, then the results of implementation and hardware testing are discussed. This thesis presents two main hardware applications for the estimator, both of which mirror prime space-based applications of modularity itself: docking and formation maintenance/reconfiguration.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>