Artigo premiado
FMS Optimum Vertical and Lateral Tracking for Reduced Fuel Consumption
- Lucas Cardoso Navarro
- Luiz Carlos Sandoval Góes
- José Alexandre Tavares Guerreiro Fregnani
Instituto Tecnológico de Aeronáutica
- Evento
- XXII SITRAER – Brasília, DF, Brasil, 22 a 24 de outubro de 2025
- Volume
- Anais do XXII Simpósio de Transporte Aéreo – SITRAER 2025 · ISBN 978-65-272-2024-4 · DOI 10.29327/9786527220244
- Editora
- Even3 Publicações
- Editores
- Fabiana Serra de Arruda, Camila Lucena, Giovanna Miceli Ronzani Borille, Evandro José da Silva
Abstract
This study addresses the optimization of flight paths in specific airspaces that permit aircraft to navigate along flexible lateral routes between designated entry and exit points, such as those found in the South Atlantic, Indian Ocean, and Pacific Ocean. Current flight planning systems typically optimize trajectories by calculating great-circle routes between selected waypoints, focusing on minimizing flight costs. However, these systems often lack the capability to adjust the flight path direction dynamically to reduce the impact of headwinds. To address this limitation, we propose an innovative algorithm for the Flight Management System (FMS) aimed at decreasing overall fuel consumption during flight. This algorithm allows for modifications to both lateral and vertical flight paths within a defined range, effectively minimizing the influence of direct wind components. By doing so, it offers a more fuel-efficient alternative compared to traditional direct routing between origin and destination points. For proof of concept, we developed a Simulink model that simulates the aircraft dynamics, autopilot control algorithms, and atmospheric conditions across various scenarios. The results indicate that the proposed algorithm can achieve fuel consumption reductions of up to 2% in certain flight conditions. Furthermore, this algorithm has the potential to be incorporated into the Boeing Flight Management System (BFMS) as an uplink feature.
Keywords: Flight Management System (FMS); Fuel Consumption; Trajectory Optimization; Headwind Minimization; Modeling