Multi-Disciplinary Design and Optimization of Air to Surface Missiles
CHALLENGE - The shaping of a missile according to only aerodynamic performance results in negative effects on the radar cross section (RCS). The impact of the external geometry on the aerodynamic performance and the radar cross section have to be investigated together. As a result, flight range, control effectiveness and RCS in the bounds of given frequency domain should be established by employing a genetic algorithm. Traditional design methodology is both time-consuming and resource-intensive. In this work, a generic air-to-surface, turbojet powered missile.is optimized.
SOLUTION - The aim of this study is finding optimal values in RCS and flight range in order to reach optimal missile design. Seventeen geometrical parameters are considered as the design variables. Multi Objective Genetic Algorithm (MOGA-II) with a simple constraint handling method is applied to find Pareto optimal solutions.
BENEFITS - This work investigates the radar cross section in a tactile missile. A genetic algorithm is employed in modeFRONTIER. Pareto optimal solutions are found by varying weights for flight range and radar cross section.