Abstract
An integrated methodology for the design of an Unmanned Aerial Vehicle (UAV) derivative has been developed. The proposed methodology utilized the Multidisciplinary Design Optimization (MDO) for the derivative optimization and utilized flight simulation for virtual flight tests. Derivative design reduced the development time and the use of flight simulator allowed quick verification of the results. In this research, Found Aircraft Expedition E350 aircraft was selected as the baseline for the UAV derivative. Empirical equations were used for the optimization process where the results were organized for easy transformation into a flight simulation model. An in house program was developed to convert raw simulation data for flight-data analysis. The optimization result yielded an improvement on the endurance of the aircraft. The flight simulation result for the original aircraft demonstrated agreement with the chosen aircraft. The application of the process demonstrated that using MDO and flight simulation was a viable method for developing a UAV derivative.
Highlights
1.1 Research MotivationThe modern aircraft design process has often relied highly on past designs, or derivative designs [1]
The methodology included the optimization of Unmanned Aerial Vehicles (UAV) derivative utilizing Multidisciplinary Design Optimization (MDO) and virtual flight testing of the optimized result with a flight simulator
Found Aircraft Expedition E350 aircraft was selected as the baseline for the UAV derivative as it had advantages over other aircraft in the category including the maximum takeoff weight and takeoff distance
Summary
1.1 Research MotivationThe modern aircraft design process has often relied highly on past designs, or derivative designs [1]. Engineers lacked information due to the UAVs short heritage. To overcome this problem, a possible method was to use the base design of an existing aircraft and optimize it to meet certain requirements, instead of creating a new design. A possible method was to use the base design of an existing aircraft and optimize it to meet certain requirements, instead of creating a new design The use of flight simulation allowed researchers to perform virtual flight tests in any circumstance. The essence of this thesis was the integration of the derivative design and virtual flight test, while utilizing Multidisciplinary Design Optimization (MDO) and flight simulation simultaneously.
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