A Study on Actuator Fault Detection and Isolation in Airplanes using Fuzzy Logic

Lee, Jang-Ho; Kim, You-Dan

Journal of the Korea Institute of Military Science and Technology 2004;7(3):140-148.

Jang-Ho Lee, You-Dan Kim

¹KARI
²Seoul National University

퍼지로직을 이용한 항공기 고장 검출 및 분리

이장호, 김유단

¹한국항공우주연구원
²서울대학교

Abstract

Fault detection and isolation(FDI) and reconfigurable flight control system provide better survivability even though actuator faults occur. In this study, a new fault detection and isolation algorithm is proposed using fuzzy logic. When the FDI system detects the actuator fault, the fuzzy logic investigates the state variables to find which actuator has fault. Proposed fuzzy detection algorithm detect not only a single fault but also multiple faults. After detecting the fault, the reconfigurable flight control system begins operating for compensating the effects of the fault. A numerical simulation using six degree-of-freedom nonlinear aircraft model is performed to verity the performance of the proposed fault detection and isolation scheme.