A genetic algorithm for trajectory generation in engine-out emergency landing scenarios of commercial aircraft

Abstract

This paper presents a Genetic Algorithm (GA) designed for trajectory generation in engine-out emergency landing scenarios encountered by large transport aircraft. The proposed GA formulates waypoint trajectories considering aircraft performance constraints and energy management, aiming to guide the aircraft to a designated landing site with appropriate speed and height to ensure a safe landing. Simulation results demonstrate the efficacy of the GA in generating feasible trajectories – with different numbers of waypoints – across different emergency scenarios. Future work aims to enhance the GA by incorporating wind effects and developing intuitive cockpit interfaces for pilot interaction. This research contributes to advancing emergency response capabilities in commercial aviation, promoting safety and efficiency in critical flight operations.