考虑动态滑翔性能的仿生机翼优化设计

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中图分类号：V221文献标志码：ADOI：10.7652/xjtuxb202601014 文章编号：0253-987X（2026）01-0137-13

Optimized Design of Bionic Wings Considering Dynamic Soaring Performance

ZHANG Shenwei，XIANG Tao，ZHANG Hang （School of Mechanical Engineering，Chang'anUniversity，Xi’an 7loo64，China）

Abstract： To address the limited endurance of current unmanned aerial vehicles （UAVs），an optimized design of bionic wings considering dynamic soaring performance is proposed based on the dynamic soaring mechanism of albatrosses， aiming to enhance the dynamic soaring performance and environmental adaptability of UAVs. Based on the structural characteristics of albatross wings， a parametric model of a three-segment bionic wing is established， with wingspan， chord length，dihedral angle，and sweep angle selected as design variables. Building on existing research，an optimized model for bionic wings is constructed with the maximum liftto-drag ratio as the optimization objective， incorporating the dynamic model of dynamic soaring. To enhance optimization eficiency，a surrogate model for the lift and drag coefficients of the bionic wing is developed using neural network fiting functions，and the optimized model is solved using a genetic algorithm. Simulation results show that compared to a straight bionic wing based on image measurement，the optimized wing achieves significant improvements in multiple key performance indicators： the maximum lift-to-drag ratio increases by 13.73% ，the minimum wind gradient decreases by 16.23% ，the maximum angle of attack increases by 60% ，the maximum lift coefficient increases by 5.9% ，and the maximum total energy increases by 33.61% . The results demonstrate that the optimized bionic wing exhibits better dynamic soaring performance， stronger environmental adaptability， and enhanced energy acquisition and utilization capabilities. This study provides new methods and insights for the design and optimization of long-endurance bionic UAVs with high dynamic soaring capabilities.

Keywords： dynamic soaring; bio-inspired wing; parametric model; energy harvesting

近年来，仿生无人机由于能够通过模仿自然界中鸟类的飞行方式来提高气动性能和续航能力而逐渐成为研究的热点。（剩余19974字）