A Multi-objective Multi-disciplinary Optimization Approach for NATO AVT 251 UCAV MULDICON

Ali Karakoç (Defense Industries Research and Development Institute, Ankara), Halil Kaya (Turkish Aerospace Industries Inc.)

CHALLENGE - This study aims to develop an aerodynamics and Radar Cross Section signature optimization approach for NATO AVT – 251 Task Group’s Unmanned Combat Aerial Vehicle configuration MULDICON. 

SOLUTION - The approach incorporates design of experiment, the concept of surrogate models and modeFRONTIER MOGA-II multi-objective genetic algorithm to optimize MULDICON configuration in order to  increase Lift force coefficient (CL) max (usable), which is defined as CL value where large local gradient change of static stability appears, by keeping survivability the same as the baseline geometry in terms of the defined Radar Cross Section objective value.

BENEFITS - As result, the study shows that it is possible to get aerodynamic improvement whereas keeping stealth characteristics of the aircrafts in acceptable value. But to get a final optimum design in conceptual phase it is necessary not only to include Aero-RCS characteristics into the MDO study but also structural constraints, aeroelasticity concerns, fligh mechanical analyses and weighting calculations should be added.