Abstract
The integration of fuzzy logic and parity space methodologies is explored for the detection and identification problem of actuator failures of aircraft. Actuator failures are identified in magnitude as bias and scale factor changes. The nonlinear fuzzy logic - parity space approach performs accurately over varied flight conditions. The estimated (fuzzy) failure status can directly be used to reconfigure the control system smoothly. The concepts are demonstrated by a simulation example of a nonlinear, six degree-of freedom civil aircraft model under realistic conditions.
Original language | English (US) |
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DOIs | |
State | Published - 1998 |
Event | 36th AIAA Aerospace Sciences Meeting and Exhibit, 1998 - Reno, United States Duration: Jan 12 1998 → Jan 15 1998 |
Other
Other | 36th AIAA Aerospace Sciences Meeting and Exhibit, 1998 |
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Country/Territory | United States |
City | Reno |
Period | 1/12/98 → 1/15/98 |
All Science Journal Classification (ASJC) codes
- Engineering(all)
- Space and Planetary Science