Optimal thruster selection with robust estimation for formation flying applications

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2003.

Bibliographic Details
Main Author: Yang, Trent, 1979-
Other Authors: Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics.
Format: Thesis
Language:en_US
Published: Massachusetts Institute of Technology 2005
Subjects:
Online Access:http://hdl.handle.net/1721.1/26899
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author Yang, Trent, 1979-
author2 Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics.
author_facet Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics.
Yang, Trent, 1979-
author_sort Yang, Trent, 1979-
collection MIT
description Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2003.
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spelling mit-1721.1/268992019-04-11T09:47:00Z Optimal thruster selection with robust estimation for formation flying applications Yang, Trent, 1979- Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Aeronautics and Astronautics. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2003. Includes bibliographical references (p. 145-147). The research goal was to develop a computationally fast mapper that can be easily configured to any spacecraft with various types of actuators. The estimation process must be compatible to the mapper and have a fast yet robust fault detection algorithm. A robust fault detection system must be sensitive to failures without raising any false alarms. The linear program (LP) mapping system presented in this thesis was first introduced by Crawford in 1968 (Ref. 42) and has been since used on a number of vehicle control systems (Ref. 9, Ref. 41). In this paper, several new innovations are developed as extensions to the basic LP. First, a solution scheme is presented to handle thruster performance degradation due to fuel flow loss from multiple thruster usages. Second, new techniques for solving linear programming problems with uncertain data are explored. In particular, a robust LP (RLP) formulation is developed here to deal with uncertainty in either the thruster performance or the velocity and positional measurements. The estimation process is a combination of a Kalman filter and a Generalized Likelihood Ratio (GLR) test for actuator fault detection. A new model-comparison (MC) approach is introduced in conjunction with the GLR test to quickly and reliably determine the exact nature of the failure, once a malfunction has been detected. Finally, the simulations of the estimator and thrust mapper system are performed on the SPHERES and Orion formation flying test beds and results show improved control capabilities along with significant fuel saving. by Trent Yang. S.M. 2005-09-06T20:43:31Z 2005-09-06T20:43:31Z 2003 2003 Thesis http://hdl.handle.net/1721.1/26899 54402122 en_US 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 147 p. 6138189 bytes 6157302 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Aeronautics and Astronautics.
Yang, Trent, 1979-
Optimal thruster selection with robust estimation for formation flying applications
title Optimal thruster selection with robust estimation for formation flying applications
title_full Optimal thruster selection with robust estimation for formation flying applications
title_fullStr Optimal thruster selection with robust estimation for formation flying applications
title_full_unstemmed Optimal thruster selection with robust estimation for formation flying applications
title_short Optimal thruster selection with robust estimation for formation flying applications
title_sort optimal thruster selection with robust estimation for formation flying applications
topic Aeronautics and Astronautics.
url http://hdl.handle.net/1721.1/26899
work_keys_str_mv AT yangtrent1979 optimalthrusterselectionwithrobustestimationforformationflyingapplications