Development and validation of an Electromagnetic Formation Flight simulation as a platform for control algorithm design

Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2015.

Bibliographic Details
Main Author: Alvisio, Bruno
Other Authors: David W. Miller and Alvar Saenz-Otero.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2015
Subjects:
Online Access:http://hdl.handle.net/1721.1/97362
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author Alvisio, Bruno
author2 David W. Miller and Alvar Saenz-Otero.
author_facet David W. Miller and Alvar Saenz-Otero.
Alvisio, Bruno
author_sort Alvisio, Bruno
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description Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2015.
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spelling mit-1721.1/973622019-04-12T09:58:14Z Development and validation of an Electromagnetic Formation Flight simulation as a platform for control algorithm design Alvisio, Bruno David W. Miller and Alvar Saenz-Otero. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics. Aeronautics and Astronautics. Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2015. Cataloged from PDF version of thesis. Includes bibliographical references (pages 113-115). Electromagnetic Formation Flight (EMFF) consists of using electromagnetic forces to position or orient satellites in a relative target location or attitude and achieve a certain target formation on orbit. This thesis introduces the fundamental equations of EMFF and the design of the Resonant Inductive Near-Field Generation System (RINGS). RINGS is a testbed composed of two vehicles that are used to demonstrate EMFF in a 6 DoF environment. In this thesis, a RMS current level controller is modeled and implemented in RINGS to give the system electromagnetic actuation capability. Subsequently, a simulation of RINGS that incorporates an EM dynamics model applicable to two RINGS vehicles operating in close proximity is developed. This model was validated using a set of open-loop maneuvers by comparing it with data obtained from experiments using the RINGS aboard the International Space Station (ISS). Finally, this simulation was used to test linear controllers that incorporate an 'Adaptive Control' approach to achieve system stability for a specific configuration and range of disturbances. by Bruno Alvisio. S.M. 2015-06-10T19:13:48Z 2015-06-10T19:13:48Z 2015 2015 Thesis http://hdl.handle.net/1721.1/97362 910634554 eng 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 127 pages application/pdf Massachusetts Institute of Technology
spellingShingle Aeronautics and Astronautics.
Alvisio, Bruno
Development and validation of an Electromagnetic Formation Flight simulation as a platform for control algorithm design
title Development and validation of an Electromagnetic Formation Flight simulation as a platform for control algorithm design
title_full Development and validation of an Electromagnetic Formation Flight simulation as a platform for control algorithm design
title_fullStr Development and validation of an Electromagnetic Formation Flight simulation as a platform for control algorithm design
title_full_unstemmed Development and validation of an Electromagnetic Formation Flight simulation as a platform for control algorithm design
title_short Development and validation of an Electromagnetic Formation Flight simulation as a platform for control algorithm design
title_sort development and validation of an electromagnetic formation flight simulation as a platform for control algorithm design
topic Aeronautics and Astronautics.
url http://hdl.handle.net/1721.1/97362
work_keys_str_mv AT alvisiobruno developmentandvalidationofanelectromagneticformationflightsimulationasaplatformforcontrolalgorithmdesign