Spacecraft Navigation Using a Robust Multi-Sensor Fault Detection Scheme

Abstract

Redundant sensor networks of inertial measurement units (IMUs) provide inherent robustness and redundancy to a navigation solution obtained by dead reckoning the fused accelerations and angular velocities sensed by the IMU. However, IMUs have been known to experience faults risking catastrophic mission failure creating large financial setbacks and an increased risk of human safety. Robust on-board fault detection schemes are developed and analyzed for a multi-sensor distributed network specifically for IMUs. Simulations of a spacecraft are used to baseline several cases of sensor failure in a distributed network undergoing fusion to produce an accurate navigation solution. The presented results exhibit a robust fault identification scheme that successfully removes a failing sensor from the fusion process while maintaining accurate navigation solutions. In the event of a temporary sensor failure, the fault detection algorithm recognizes the sensors' return to nominal operating conditions and processes its sensor data accordingly.

Meeting Name

26th AAS/AIAA Space Flight Mechanics Meeting (2016: Feb. 14-18, Napa, CA)

Department(s)

Mechanical and Aerospace Engineering

Keywords and Phrases

Navigation; Sensor networks; Space flight; Spacecraft; Units of measurement; Distributed networks; Fault detection algorithm; Fault identifications; Inertial measurement unit; Navigation solution; On-board fault detection; Redundant sensor networks; Spacecraft navigation; Fault detection

International Standard Book Number (ISBN)

978-0877036333

International Standard Serial Number (ISSN)

0065-3438

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2016 Univelt Inc., All rights reserved.

Publication Date

01 Feb 2016

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