Vehicle health monitoring using stochastic constraint suspension
Name
820469733-MIT.pdf
Description
Full printable version
Size
11.2 MB
Format
Adobe PDF
Checksum (MD5)
83e0d04a6d6b29e82411d8f8d98fb95c
Author(s)
Rossi, Christopher, S.M. Massachusetts Institute of Technology
Advisor(s)
Jeffrey A. Hoffman and Russell Sargent.
Alternative Title
VHM using stochastic constraint suspension
Date Issued
2012
Publisher
Massachusetts Institute of Technology
Abstract
Autonomous vehicle health monitoring (VHM) has been identified as a high priority technology for future space exploration in NASA's 2012 technology roadmap. Traditional VHM approaches are often designed for a specific application and are unable to detect and isolate a wide variety of faults. Proposed methods are often too computationally complex for NASA's manned flight software verification and validation (V&V) process. An innovative VHM algorithm is presented that addresses these weaknesses by integrating the constraint suspension technique with parity space and hypothesis testing. The approach relies on on-board sensor measurements, knowledge of control commands, and a modular mathematical system model to provide a VHM solution. Improvement over original constraint suspension is demonstrated using conceptual and numerical examples. Feasibility of the VHM method on a spacecraft is explored using a numerical simulation of a generic vehicle.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2012.
Pages 91 and 92 blank. Cataloged from PDF version of thesis.
Includes bibliographical references (p. 79-81).
Subjects
Aeronautics and Astronautics.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
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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.
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