Multiobjective Conceptual Design of an Unmanned Combat Air Vehicle

Design optimization of a supersonic unmanned combat air vehicle is addressed. Proper mathematical models are developed, with constraints on optimization variables and performance limits. Multiple cooling multi objective simulated annealing algorithm is used to carry out the optimization. The results demonstrate that design optimization formulation as well as the algorithms employed is effective to help designers to come up with baseline configurations. Nomenclature AR = aspect ratio E = endurance L/D = lift to drag ratio R = range SFC = specific fuel consumption V = velocity Wi = weight at the beginning of the i th flight phase nmanned air vehicles are expected to replace many manned missions in the future. It has already demonstrated its effectiveness for military usage in terms of reconnaissance, as well as weapons delivery. Future fighter aircrafts are also expected to be unmanned. In fact, Joint Strike Fighter aircraft is said to be last manned fighter aircraft to be utilized by the United States armed forces. In this vein a number of unmanned combat aircraft (UCAV) has already been developed or under development. Among them the general atomics MQ.9 Reaper