Abstract
In the precision instrument approach and landing of an airplane where the uncertainty is very frequent due to the high sensitivity of the activity to many factors that influence the behavior of the pilots, Fuzzy logic can be used to produce estimates which take into account the vagueness of the flight environment. In this situation, an important decision about the approach and landing of the airplane under Instrument meteorological conditions is based on these conditions. Instrument meteorological conditions (IMC) describes weather conditions that require pilots to fly primarily by reference to instruments, and therefore under Instrument Flight Rules (IFR), rather than by outside visual. Typically, instrument meteorological conditions are defined as bad visibility and low ceiling. In this thesis an analysis of the inputs under fuzzy logic approach is considered for a landing of airplane in Instrument meteorological conditions. The success rate of landing is investigated, when the visibility, pilot experience and air speed are given by a fuzzy function. The main advantages of this approach are then discussed. Precision instrument approach and landing simulations are used and the performance of the fuzzy based system is evaluated with fuzzy logic toolbox under MATLAB’s Simulation Block Set which provides a complete set of tools for evaluating the success rate of landing under the given inputs. Around 100 approach and landings are simulated using Microsoft Flight Simulator. All these flight simulation cases were applied to train the proposed fuzzy logic engine to calculate the success rate of landing. After the proposed fuzzy logic engine has been fully developed, it has been evaluated and then the evaluated results from the proposed fuzzy logic engine compared with flight simulation data collected for evaluation. Comparison of the results from the developed fuzzy based system and flight simulation results show that the proposed fuzzy engine can successfully predict the success rate of landing under the given inputs.