Knowledge-based automatic fault detection in flight control system

C. H. Lo, Eric H.K. Fung, Y. K. Wong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

There are various possible failures, like, actuator, sensor, or structural, which can occur on a sophisticated modern aircraft. In certain situations the need for an automatic fault detection system provides additional information about the status of the aircraft to assist pilots to compensate for failures. In this paper, we develop an intelligent technique based on fuzzy-genetic algorithm for automatically detecting failures in flight control system. The fuzzy-genetic algorithm is proposed to construct the automatic fault detection system for monitoring aircraft behaviors. Fuzzy system is employed to estimates the times and types of actuator failure. Genetic algorithms are used to generate an optimal fuzzy rule set based on the training data. The optimization capability of genetic algorithms provides and efficient and effective way to generate optimal fuzzy rules. Different types of actuator failure can be detected by the fuzzy-genetic algorithm based automatic fault detection system after tuning its rule table. Simulations with different actuator failures of the non-linear F-16 aircraft model are conducted to appraise the performance of the proposed automatic fault detection system.

Original languageEnglish
Title of host publicationProceedings of the ASME International Mechanical Engineering Congress and Exposition, IMECE 2007
Pages605-610
Number of pages6
DOIs
Publication statusPublished - 2008
EventASME International Mechanical Engineering Congress and Exposition, IMECE 2007 - Seattle, WA, United States
Duration: 11 Nov 200715 Nov 2007

Publication series

NameASME International Mechanical Engineering Congress and Exposition, Proceedings
Volume9 PART A

Conference

ConferenceASME International Mechanical Engineering Congress and Exposition, IMECE 2007
Country/TerritoryUnited States
CitySeattle, WA
Period11/11/0715/11/07

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