Autonomous control of UAVs has become a popular research topic in recentyears. This paper is concerned with the flight of UAVs (Unmanned Aerial Vehicles) andproposes fuzzy logic based autonomous flight and landing system controllers. Three fuzzylogic modules are developed under the main navigation control system and three more forthe autonomous landing control system to control of the altitude, the speed, and theposition against the runway, through which the global position (latitude-longitude) of theair vehicle is controlled. A SID (Standard Instrument Departure) and TACAN (Tactical AirNavigation) approach is used and the performance of the fuzzy-based controllers isevaluated with time based diagrams under MATLAB’s standard configuration and theAerosim Aeronautical Simulation Block Set which provides a complete set of tools for rapiddevelopment of detailed 6 degree-of-freedom nonlinear generic manned/unmanned aerialvehicle models. The Aerosonde UAV model is used in the simulations in order todemonstrate the performance and the potential of the controllers. Additionally, some visualtools are deployed in order to get visual outputs that aid the designer in the evaluation ofthe controllers. Despite the simple design procedure, the simulated test flights indicate thecapability of the approach in achieving the desired performance.