Volume 38, Issue 2 e12631
ORIGINAL ARTICLE

Knowledge based approach to ground refuelling optimization of commercial airplanes

Elías Plaza

Elías Plaza

Department of Computer Science and Automatic Control, UNED, Madrid, Spain

Search for more papers by this author
Matilde Santos

Corresponding Author

Matilde Santos

Institute of Knowledge Technology, University Complutense of Madrid, Madrid, Spain

Correspondence

Matilde Santos, Institute of Knowledge Technology, University Complutense of Madrid, Madrid 28040, Spain.

Email: [email protected]

Search for more papers by this author
First published: 01 September 2020
Citations: 6

Abstract

This work aims to establish a general and optimized procedure for the initial refuelling of commercial airplanes, as this loading process is strongly related to safety and energy saving issues. The on-ground refuelling is addressed as an optimization problem whose cost function involves expert knowledge about constraints and factors that influence the aircraft stability and performance. Several heterogeneous criteria (fuelling time, structural load, flow transfers, etc.) have been considered and weighted accordance to its importance in terms of stability. This allows us to adapt the strategy to any type and planned trip of the airplane. The priority is the positioning of the centre of mass of the civil aircraft within safety and manoeuvrability margins, and near the optimal position. Evolutive algorithms are applied, keeping feasible solutions by modifying genetic operators. As a case of study, the initial refuelling of a long range type commercial aircraft, the Airbus A330-200, is analysed. Simulation results have proved this methodology to be efficient and optimal. Even more, this heuristic and general approach improves the traditional solution that follows a set of pre-defined rules that are specific for each type of aircraft.

CONFLICTS OF INTEREST

The authors declare no conflicts of interest.

DATA AVAILABILITY STATEMENT

The data used to support the findings of this study are included within the article. Some technical characteristics that have been also used can be found in (Airbus, 2020).

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.