Vehicle health monitoring using stochastic constraint suspension
Author(s)Rossi, Christopher, S.M. Massachusetts Institute of Technology
VHM using stochastic constraint suspension
Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics.
Jeffrey A. Hoffman and Russell Sargent.
MetadataShow full item record
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.
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).
DepartmentMassachusetts Institute of Technology. Dept. of Aeronautics and Astronautics.
Massachusetts Institute of Technology
Aeronautics and Astronautics.