Preliminary aerodynamic configuration optimization using particle swarm optimization with a multi-component objective function
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https://doi.org/10.54939/1859-1043.j.mst.FMC.2026.163-172Keywords:
Aerodynamic optimization; Missile DATCOM; Particle swarm optimization; Multi-component objective function; Static margin; Normal-force derivative.Abstract
This paper proposes a preliminary aerodynamic configuration optimization framework coupling particle swarm optimization (PSO) with Missile DATCOM. Eleven-variable Rose baseline geometries are evaluated at interpolated angles of attack satisfying a common normal-force requirement. A feasibility-aware objective combines drag and aerodynamic efficiency with residual pitching moment, static stability, local control demand, geometric compactness, and normal-force-derivative retention. The proposed and Vasile-type formulations are compared under identical design bounds, aerodynamic evaluation, PSO settings, and computational budget. Across 15 paired runs, the proposed formulation yields lower drag and higher lift-to-drag ratio in every pair. For the median-representative pair, drag decreases by 8.13% and lift-to-drag ratio increases by 8.85% relative to the Rose baseline configuration; the corresponding improvements over the Vasile-type design are 7.98% and 8.67%, with all feasibility requirements satisfied.
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