Abstract
Trimming aircraft on the ground is an absolutely necessary for flight simulators. In order to carry out this task, the aircraft-runway dynamic model is analyzed, and then an elite re-optimized hybrid genetic algorithm for trimming the model is designed, which combines the merits of a genetic algorithm and pattern search. It does not only avoid being trapped by a local optimum, but also improves the precision of results and saves on the time for trimming. Because this trim method requires only in-out information of the dynamic model, it is a universal tool and can be used on different trim works of different simulated aircraft. Its efficiency is then validated in a flight simulator, which reveals its engineering significance.
| Original language | English |
|---|---|
| Pages (from-to) | 117-124 |
| Number of pages | 8 |
| Journal | Transactions of the Japan Society for Aeronautical and Space Sciences |
| Volume | 52 |
| Issue number | 177 |
| DOIs | |
| State | Published - 2009 |
| Externally published | Yes |
Keywords
- Aircraft-runway dynamics
- Flight simulator
- Genetic algorithm
- Pattern search
- Trim method
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