Paper Info

Title | ||
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Robust fault detection using robust l1 estimation and fuzzy logic |

Abstract | ||
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The paper considers the application of robust l1 estimation in conjunction with fuzzy logic to robust fault detection for an aircraft flight control system. It reviews the design of robust l1 estimators based on multiplier theory and the resulting fixed threshold approach to fault detection (FD). It also discusses the principles behind fuzzy logic as applied to robust residual evaluation and FD. Due to modeling errors and unmeasurable disturbances, it is difficult to distinguish between the effects of an actual fault and those caused by uncertainty and disturbance. Hence, it is the aim of a robust FD system to be sensitive to faults while remaining insensitive to uncertainty and disturbances. While fixed thresholds only allow a decision on whether a fault has or has not occurred, it is more valuable to have the residual evaluation lead to a conclusion related to the degree of, or probability of, a fault. Fuzzy logic is a viable means of determining the degree of a fault and allows the introduction of human observations that may not be incorporated in the rigorous threshold theory. Hence, fuzzy logic can provide a more reliable and informative fault detection process. Using an aircraft flight control system, the results of FD using robust l1 estimation with a fixed threshold are demonstrated. FD that combines robust l1 estimation and fuzzy logic is also demonstrated. It is seen that combining the robust estimator with fuzzy logic proves to be advantageous in increasing the sensitivity to smaller faults while remaining insensitive to uncertainty and disturbances |

Year | DOI | Venue |
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2001 | 10.1109/ACC.2001.945985 | American Control Conference, 2001. Proceedings of the 2001 |

Keywords | DocType | Volume |

aircraft control,estimation theory,fault diagnosis,fuzzy control,fuzzy logic,aircraft flight control system,fault detection,fixed threshold approach,fuzzy logic,human observations,informative fault detection process,modeling errors,multiplier theory,rigorous threshold theory,robust FD system,robust estimator,robust fault detection,robust l1 estimation,robust residual evaluation,uncertainty,unmeasurable disturbances | Conference | 2 |

ISSN | ISBN | Citations |

0743-1619 | 0-7803-6495-3 | 0 |

PageRank | References | Authors |

0.34 | 0 | 3 |

Authors (3 rows)

Cited by (0 rows)

References (0 rows)

Name | Order | Citations | PageRank |
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Curry, T. | 1 | 0 | 0.34 |

Collins, E.G., Jr. | 2 | 32 | 4.92 |

Selekwa, M. | 3 | 0 | 0.68 |