Abstract
This research systematically evaluates the impacts on the environment regarding aircraft noise and exhaust emissions, aiming at identifying the potential optimal aircraft flight trajectories withrespect to different objectives.A trajectory optimisation method based on genetic algorithms is developed to cover a wider range of formations of optimisation objectives without strict requirements of problem formulation. To solve the low computational efficiency problems caused by a large number of free parameters, a new parameterization approach is applied to discretize the dynamics equations. Furthermore, a dynamic bound method is proposed to define the upper and lower bounds of free parameters to avoid threatening potential search space. By applying the proposed method, numerical simulation is conducted addressing different optimisation tasks with required operational constraints. Results reveal that the proposed method is applicable, reliable and flexible to solve multi-objective optimisation problems.
Original language | English |
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Title of host publication | Proceedings of the Greener Aviation Conference |
Publisher | Council of European Aerospace Societies |
Number of pages | 11 |
Publication status | Published - Oct 2016 |
Keywords
- trajectory optimisation
- noise
- emissions
- genetic algorithm