Landing sequencing modelling with fuzzy logic: Opportunistic approach for unmanned aerial systems

Abstract

From the beginning of 21th century, the quantities and types of Unmanned Aerial Systems (UAS) have grown enormously and they become to boost substitution for the manned systems. UAS are creating advancement with a massive potential to change military operations and also enabling the new civilian applications. The vital issue for the airspace designers and managers is how to integrate manned and unmanned systems to the interoperability airspace. It is global arrangement that UAS operation in the integrated airspace must meet in any operational standards, procedures and safety issues as manned aircraft. For today, Air Traffic Management (ATM) is a dynamic and integrated environment including both manned and unmanned systems. Air Traffic Control (ATC) systems have the obligation to sustain an efficient and safe airspace utilization of manned and unmanned systems together. On the other hand, tendency for civilian and military applications about future is substituting unmanned aerial systems for manned aerial systems. In this paper, we present an analytic approach for UAS landing sequencing modelling in the dynamic airspace including different aerodynamic specifications or mission types for both military and civilian UAS via fuzzy logic modelling. During the designing model, the MATLAB Fuzzy FIS (Fuzzy Inference System) is used with realistic data and the user friendly interface is created via MATLAB/GUI.