Abstract
In this article, the multi-objective design of a fuzzy logic augmented flight controller for a high performance fighter jet (the Lockheed-Martin F16) is described. A fuzzy logic controller is designed and its membership functions tuned by genetic algorithms in order to design a roll, pitch, and yaw flight controller with enhanced manoeuverability which still retains safety critical operation when combined with a standard inner-loop stabilizing controller. The controller is assessed in terms of pilot effort and thus reduction of pilot fatigue. The controller is incorporated into a six degree of freedom motion base real-time flight simulator, and flight tested by a qualified pilot instructor.
| Original language | English |
|---|---|
| Article number | JAERO610 |
| Pages (from-to) | 293-309 |
| Number of pages | 17 |
| Journal | Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering |
| Volume | 224 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 5 Nov 2009 |
| Externally published | Yes |
Keywords
- flight simulation
- multi-objective design
- fuzzy control optimization genetic algorithms