摘要
鸟类飞行中翅膀手翼和肘翼段的协同变形模式,为解决大展弦比无人机变形过程中质心和焦点的复杂偏移问题提供了有效途径。基于MQ-9无人机的反设计及变形机翼改型设计结果,建立了4个内、外段不同展长比例的机翼模型。基于结构设计结果,确定了质心稳定情况下内、外段后掠角协同变化规律及变形过程中纵向静稳定度的变化情况。基于CFD技术,对翼身组合体进行气动力计算,构建代理模型并结合遗传算法对计算结果进行全局寻优,探究仿生变后掠翼无人机的最优飞行状态及变形规律,选定最优仿生变后掠翼模型。分析结果表明:中、低亚声速范围内,仿生机翼的最优后掠角随马赫数变化曲线的波动程度大于传统单段式机翼;内、外段机翼展长比例对气动特性及最优变形规律影响较大,选则合适的比例可以有效减小最优机翼后掠角及对应的迎角变化曲线的波动程度。
A variety of cooperative wing deformation modes in bird maneuver flight provides an effective way to solve the complex offset of centroid and aerodynamic center of larger-scale morphing UAVs. In this paper, based on the reverse design of the MQ-9 UAV and the biomimetic retrofit design, four models of morphing wing with different span ratios of the inner and outer parts were established. Based on the structure design of the morphing wing, the cooperative variation law of the sweep angle of the inner and outer parts under the condition of the stable centroid and the longitudinal static stability variation in the morphing process were determined. Based on the aerodynamic calculation of the wing-body configuration by CFD, agent models of different morphing models were constructed and the genetic algorithm was combined to search the global optimization results. The optimal flight states and morphing laws of the biomimetic wing morphing UAV were explored and the optimal wing models were selected. The results show that in the range of low and medium subsonic speed, the fluctuation of the optimal sweep angle with Mach numbers of the biomimetic wing is greater than that of the conventional single-part wing. The wingspan ratio of the inner and outer parts have a great influence on aerodynamic characteristics and the optimal deformation law of sweep angle. Selecting the appropriate proportion can effectively reduce the value of the optimal sweep angle and the fluctuation degree of the corresponding variation of the angle of attack.
作者
马航
宋笔锋
裴扬
李明锁
MA Hang;SONG Bifeng;PEI Yang;LI Mingsuo(School of Aeronautics,Northwestern Polytechnical University,XiJ an 710072,China;Science and Technology on Electro-optic Control Laboratory,Luoyang 471009,China)
出处
《飞行力学》
CSCD
北大核心
2021年第4期1-6,12,共7页
Flight Dynamics
基金
光电控制技术重点实验室和航空科学基金联合资助(20185153032)。
关键词
仿生变后掠翼
质心稳定
最优变形规律
遗传算法
biomimetic sweep wing
stable centroid
optimal morphing law
genetic algorithm
