Optimization with elitist genetic algorithm method in preliminary design of unmanned air vehicle & its propulsion system simultaneously

In this thesis, selection of propulsion system for an unmanned air vehicle with a given mission profile and optimization in preliminary design of aircraft & its propulsion system with the method of elitism-based genetic algorithm is done. Aircraft mission profile, particularly in aircraft design, is one of the most important design inputs. As the aircraft is sized for the requirements specification (payload to be carried, range, target cost, etc.), the parameters within mission profile such as cruising altitude and speed of aircraft affect engine type, power level, fuel quantity and therefore general dimensions and the gross weight of the aircraft. In this study, a code for sizing of an unmanned aerial vehicle (UAV) and its engine by analytical method is developed and at the same time by employing an elitist genetic algorithm, preliminary sizing of an UAV and its engine that can be used in our country for purposes such as forest, land monitoring, coastal surveillance, border control, military reconnaissance missions etc. has been made and the selected engine parameters are optimized to be able to reach the maximum loiter time.