Coordination and control of a multiple spacecraft using convex optimization techniques

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2002.

Bibliographic Details
Main Author: Tillerson, Michael James, 1977-
Other Authors: Jonathan P. How.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2005
Subjects:
Online Access:http://hdl.handle.net/1721.1/16874
_version_ 1826210900661501952
author Tillerson, Michael James, 1977-
author2 Jonathan P. How.
author_facet Jonathan P. How.
Tillerson, Michael James, 1977-
author_sort Tillerson, Michael James, 1977-
collection MIT
description Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2002.
first_indexed 2024-09-23T14:57:35Z
format Thesis
id mit-1721.1/16874
institution Massachusetts Institute of Technology
language eng
last_indexed 2024-09-23T14:57:35Z
publishDate 2005
publisher Massachusetts Institute of Technology
record_format dspace
spelling mit-1721.1/168742019-04-12T19:28:49Z Coordination and control of a multiple spacecraft using convex optimization techniques Tillerson, Michael James, 1977- Jonathan P. How. 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, 2002. Includes bibliographical references (p. 163-170). This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Formation flying of multiple spacecraft is an enabling technology for many future space science missions. These future missions will, for example, use the highly coordinated, distributed array of vehicles for earth mapping interferometers and synthetic aperture radar. This thesis presents coordination and control algorithms designed for a fleet of spacecraft. These algorithms are embedded in a hierarchical fleet architecture that includes a high-level coordinator for the fleet maneuvers used to form, re-size, or re-target the formation configuration and low-level controllers to generate and implement the individual control inputs for each vehicle. The trajectory and control problems are posed as linear programming (LP) optimizations to solve for the minimum fuel maneuvers. The combined result of the high-level coordination and low-level controllers is a very flexible optimization framework that can be used off-line to analyze aspects of a mission design and in real-time as part of an on-board autonomous formation flying control system. This thesis also investigates several critical issues associated with the implementation of this formation flying approach. In particular, modifications to the LP algorithms are presented to: include robustness to sensor noise, include actuator constraints, ensure that the optimization solutions are always feasible, and reduce the LP solution times. Furthermore, the dynamics for the control problem are analyzed in terms of two key issues: 1) what dynamics model should be used to specify the desired state to maintain a passive aperture; and 2) what dynamics model should be used in the LP to represent the motion about this state. Several linearized models of the relative dynamics are considered in this analysis, including Hill's equations for circular orbits, modified linear dynamics that partially account for the J2 effects, and Lawden's equations for eccentric orbits. The complete formation flying control approach is successfully demonstrated using a nonlinear simulation environment that includes realistic measurement noises, disturbances, and actuator nonlinearities. by Michael James Tillerson. S.M. 2005-05-19T15:06:58Z 2005-05-19T15:06:58Z 2002 2002 Thesis http://hdl.handle.net/1721.1/16874 51686471 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 170 p. 2007763 bytes 2007600 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Aeronautics and Astronautics.
Tillerson, Michael James, 1977-
Coordination and control of a multiple spacecraft using convex optimization techniques
title Coordination and control of a multiple spacecraft using convex optimization techniques
title_full Coordination and control of a multiple spacecraft using convex optimization techniques
title_fullStr Coordination and control of a multiple spacecraft using convex optimization techniques
title_full_unstemmed Coordination and control of a multiple spacecraft using convex optimization techniques
title_short Coordination and control of a multiple spacecraft using convex optimization techniques
title_sort coordination and control of a multiple spacecraft using convex optimization techniques
topic Aeronautics and Astronautics.
url http://hdl.handle.net/1721.1/16874
work_keys_str_mv AT tillersonmichaeljames1977 coordinationandcontrolofamultiplespacecraftusingconvexoptimizationtechniques