Efficient trajectory parameterization for environmental optimization of departure flight paths using a genetic algorithm

Efficient trajectory parameterization for environmental optimization of departure flight paths using a genetic algorithm

Hartjes, S. (TU Delft Air Transport & Operations)
Visser, H.G. (TU Delft Air Transport & Operations)

2016

In this study, a genetic optimization algorithm is applied to the design of environmentally friendly aircraft departure trajectories. The environmental optimization has been primarily focused on noise abatement and local NOx emissions, whilst taking fuel burn into account as an economical criterion. In support of this study, a novel parameterization approach has been conceived for discretizing the lateral and vertical flight profiles, which reduces the need to include nonlinear side constraints in the multiparameter optimization problem formulation, while still permitting to comply with the complex set of operational requirements pertaining to departure procedures. The resulting formulation avoids infeasible solutions and hence significantly reduces the number of model evaluations required in the genetic optimization process. The efficiency of the developed approach is demonstrated in a case study involving the design of a noise abatement departure procedure at Amsterdam Airport Schiphol in The Netherlands.

Trajectory optimization
noise abatement
emissions
parametrization
genetic algorithm

http://resolver.tudelft.nl/uuid:c18ba24e-8159-4602-a745-2f4479aaa442

https://doi.org/10.1177/0954410016648980

0893-1321

Journal of Aerospace Engineering

Institutional Repository

journal article

© 2016 S. Hartjes, H.G. Visser