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Massachusetts Institute of Technology

Fault detection, isolation, and recovery for autonomous parafoils

Abstract

dc:description.abstract

Autonomous precision airdrop systems are widely used to deliver supplies to remote locations. This aerial delivery method provides a safety and logistical advantage over traditional ground- or helicopter-based payload transportation methods. The occurrence of a fault during a flight can severely degrade vehicle performance, effectively nullifying the value of the guided system, or worse. Quickly detecting and identifying faults enables the choice of an appropriate recovery strategy, potentially mitigating the consequences of an out-of-control vehicle and recovering performance. This thesis presents a fault detection, isolation, and recovery (FDIR) method for an autonomous parafoil system. The detection and isolation processes use residual signals generated from observers and other system models. Statistical methods are applied to evaluate these residuals and determine whether a fault has occurred, given a priori knowledge of how the system behaves in the presence of faults. This work develops fault recovery strategies that are designed to mitigate the effects of several common faults and allow for a successful mission even with severe loss of control authority. An extensive, high-fidelity, Monte Carlo simulation study is used to assess the eectiveness of FDIR, including the probability of correctly isolating a fault as well as the target miss distance improvement resulting from the implementation of fault recovery strategies. The integrated FDIR method demonstrates a very high percentage of successful isolation as well as a substantial decrease in miss distance for cases in which a common fault occurs. Flight test results consistent with simulations show successful detection and isolation of faults as well as implementation of recovery strategies that result in miss distances comparable to those from healthy flights.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Stoeckle, Matthew Robert
Advisor dc:contributor.advisor
  • Jonathan P. How and Louis S. Breger.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • 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.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/90612
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/90612

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Stoeckle, Matthew Robert. Fault detection, isolation, and recovery for autonomous parafoils. Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90612