MADANI, Irfan, SERESINHE, Ravinka, LAWSON, Craig, SHINKAFI, Ahmed and QUAGLIA, Daniele (2014). Airframe systems power off-take modelling in more-electric large aircraft for use in trajectory optimisation. In: ICAS 2014 CD-ROM PROCEEDINGS. ICAS. [Book Section]
Abstract
The classical approach to trajectory
optimisation uses aircraft dynamics
models coupled with engine performance
models to optimise for different objectives
such as fuel, time, noise and emissions.
However, initial studies have shown that
airframe systems loads and the resulting
fuel penalties due to off-takes, is
influenced and more importantly
influences the optimum trajectories.
Moreover, the need for such an enhanced
approach is required to define the “more
electric aircraft trajectory optimisation”
problem.
This paper describes the methodology
which has been used to represent the
airframe systems operation and the
subsequent penalties in the trajectory
optimisation studies conducted within the
GATAC framework, under the Systems
for Green Operation (SGO) work package
in the Clean Sky programme.
The purpose of the integrated airframe
systems model is to model and interface
the airframe systems power requirements
or “secondary power” requirements within
the optimisation framework and other
models involved in the optimisation. The
integrated model accumulates the
requirements for the individual models and
then computes the total bleed air mass
flow and shaft power off-take
requirements from the aircraft engine. In
the case of the more electric aircraft, the
off-takes are limited to shaft power offtakes since the bleed air is eliminated.
This paper presents a modelling
methodology which focuses on modelling
airframe systems based on the power
requirements with regard to design and
certification standards. Also considered is
computational efficiency such that the
models can be incorporated in exhaustive
trajectory optimisation problems without
causing significant performance penalties.
Preliminary trajectory optimisation results
confirm that the inclusion of airframe
systems influences the trajectory
optimisation, especially when trajectories
are optimised for minimum fuel burn. The
significance is such that the penalties due
to systems have to be accounted for when
aircraft trajectory optimisation is studied
for environmental gains. The combined
effect and the enhanced approach to
optimisation progresses the prediction of
optimum flight trajectories for real aircraft.
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