Airplane level changes using fuzzy control

Decision making systems in air traffic management have become necessary over the last few years due to the increase in flights. This paper shows how fuzzy control sets the flight change levels that can be used to route flight or approximation area on the airports, which implies in a decrease of air traffic controller workload. The description of the problem and the model used were initially shown, with the input and output variables. After that the fuzzy rules were defined and applied to the different study cases where imprecise results had been registered, so an approach to increase the precision was defined by modifying the universe's discourse while the airplane was approaching its destiny (climb or descent). Different examples are presented, showing the good results with the use of this approach, where the airplane reaches the goal level on the time defined by controller. The proposed system uses Mandani direct inference method.