FLC-based Landing Approach and Collision Avoidance Path Planning for Multiple Aircraft and Runways
Joseph Stern, Kelly De Oliveira Cohen · 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition · 2012
The complexities of safely landing multiple aircraft on multiple runways within a controlled airspace pose many issues for human air traffic controllers, as well as in potential future situations wherein UAVs are introduced. Fuzzy logic control provides many benefits with properties such as universal approximation and exploitation of expert-provided heuristics and can aid in providing safe landing approach path planning and collision avoidance. This paper addresses an egocentric, autonomous method, wherein each aircraft applies fuzzy logic locally to avoid potential collision with other, landing aircraft in the airspace (as opposed to exocentric, collaborative control, wherein all aircraft are aware of all flight paths and base decisions on this knowledge). Given a two-dimensional airspace with multiple aircraft—each at constant airspeed, with a minimum turn radius, and neglecting maneuvering dynamics—and multiple runways, a fuzzy logic controller was designed and coupled with a simple, geometric path planner and supporting simulation code in Matlab.