Quantitative Weight and Two-Particle Search Algorithm to Optimize Aero-Stealth Performance of a Backward Inclined Vertical Tail

Abstract

To study the influence of the tilt-back design of a vertical tail on its aerodynamic stealth characteristics, an optimization method based on a quantitative weight coefficient and a two-particle search algorithm is presented. When the aerodynamic performance of the vertical tail is optimized separately, the reduction in the drag index is obvious, and the optimal solution appears at the boundary of the backward-tilt range. The optimal solution of separate stealth optimization is different from that of separate aerodynamic optimization within the given range of tilt back. The two-particle search algorithm can provide an optimal solution for comprehensive performance optimization under different weight coefficient distributions, where the fitness index, aerodynamic index, and radar cross-section index are all significantly reduced. The presented optimization method is effective for optimizing the aerodynamic stealth performance of the vertical tail.