扑翼微飞行器飞行时的数值模拟与分析

采用数值方法求解三维非定常不可压缩的N-S方程,生成了相应的扑翼微飞行器的三维动网格;模拟了扑翼微飞行器在不同频率、不同攻角、不同振幅、不同飞行速度、不同的翅膀初始位置下的非稳态流场;计算了扑翼微飞行器在不同运动模态下的升阻力系数;分析了影响扑翼微飞行器空气动力学的特性的不同因素;为扑翼微飞行器的飞行机制和建造提供了理论依据。     

多段柔性变体扑翼飞行器设计

多段柔性变体扑翼模仿海鸥翅膀的复杂运动.观察海鸥翅膀的运动周期,设计了包含慢频率扑动、展向折弯、弦向扭转和结构柔性变形的扑翼模型,并应用准定常方法计算气动力,为该扑翼飞行器设计提供依据.在CATIA和3DMAX中设计多段柔性变体扑翼机的三维模型和运动模拟,制作样机进行飞行试验,研究其平飞、爬升、偏航等飞行姿态,结果表明升力和推力与数值计算结果吻合.相较于原有扑翼飞行器,多段柔性变体扑翼飞行器可以慢频率扑动飞行,调整扑翼形状.      

主动变形扑翼飞行器的设计和风洞测力试验研究

主动变形扑翼可以模仿鸟翼飞行时的复杂运动。为了了解主动变形扑翼飞行器的气动特性,在研究鸟类骨骼结构和翅膀及尾翼运动规律的基础上,设计并制造了一种基于机器人技术的主动变形扑翼飞行器;给出了主动变形扑翼飞行器的机构运动规律函数,并设计出机构运动控制系统;在低速风洞中对此飞行器进行了一系列测力试验,研究了主动变形扑翼的升力、推力特性,以及风速、扑动频率、扑动幅度、伸展相位等参数对升力和推力的影响,并与常规扑翼进行了对比分析。试验结果表明,较之常规扑翼,主动变形扑翼可以显著增加升力和增强对不同飞行状态的适应能力。     

柔性扑翼全机气动结构耦合特性及稳定性研究

由于微型扑翼飞行器具有体积小、重量轻等特点,在飞行过程中会产生明显的柔性变形,因此在对扑翼气动特性进行数值模拟时,有必要考虑柔性变形的影响。基于结构动力学理论,发展了一种适用于扑翼全机气动结构耦合特性的数值模拟方法与一种适用于扑翼的结构动力学求解方法。方法利用哈密顿原理,对动能和应变能进行变分,进而得到扑翼动力学方程,采用结构有限元方法对运动方程进行离散并求解;采用基于嵌套网格的CFD求解器对微型扑翼全机非定常绕流进行数值模拟。采用CFD/CSD耦合求解器对微型扑翼飞行器全机气动结构耦合特性进行数值模拟,分析了结构变形对柔性扑翼气动特性的影响,并分别对扑动过程中刚性扑翼和柔性扑翼的压心变化范围进行研究,分析了结构变形对柔性扑翼稳定性的影响。     

微型扑翼飞行器的升力风洞试验

针对微型扑翼飞行器在专门的低雷诺数试验风洞中进行了扑翼的升力风洞试验, 测试出了微型扑翼飞行器在正常飞行以及向上爬升状态时的升力特性曲线, 并且探讨了扑翼频率、飞行速度以及扑翼的迎角对扑翼飞行升力的影响, 在此基础上, 还分析了扑翼升力的组成部分以及相互关系.实验结果为微型扑翼飞行器总体、气动的进一步设计提供了依据.      

扑翼升力特性的非定常涡格法计算研究

针对西北工业大学航空学院微型飞行器研究室研制的PY-1型扑翼机,建立了扑翼的运动模型,并采用非定常涡格法模拟了该扑翼的升力特性,分析了迎角、飞行速度对升力特性的影响。计算结果与实际飞行试验吻合,验证了非定常涡格法模拟扑翼非定常气动特性的正确性和有效性。研究结果可为扑翼机的气动设计提供参考。     

仿生微扑翼飞行器机构动态分析与工程设计方法

以工程应用为背景,从全局的角度提出了一种仿生微扑翼飞行器的动态分析与设计方法。在对鸟类的飞行参数进行统计分析的基础之上,拟合出扑翼飞行的仿生学公式,并据此进行了微扑翼飞行器的仿生学初步设计。根据仿生学结果设计了飞行器的传动布局、动力方案以及总体结构,并按照运动学分析、气动力分析以及动力学分析相结合的动态分析方法研究了微扑翼飞行器的动态特性。在动态分析的基础上进行了飞行参数的优化设计,使得微扑翼飞行器达到性能最佳。样机制作及风洞试验结果证明了这种方法的有效性与可行性。所得研究结论对微扑翼飞行器的设计、制作和应用提供了一定的理论依据。     

微型扑翼飞行器非定常运动对平尾的影响

以西北工业大学自行研制的微型扑翼飞行器ASN211为研究对象,利用其简化的二维扑翼及平尾串列翼模型进行了非定常数值模拟,分析了扑翼俯仰运动及沉浮运动对平尾气动性能的影响。在数值模拟模块中,模型的俯仰运动及沉浮运动由动网格技术实现。通过计算流体力学(CFD)软件Fluent对此非定常流场进行数值计算,重点研究了扑翼非定常运动尾流对平尾气动效率的影响。定常状态与非定常时均条件下平尾升力曲线的对比分析表明,扑翼的非定常运动能够增大平尾的失速迎角及最大升力系数,因而使平尾的失速特性得到改善。     

扑翼飞行器非定常气动特性研究

为了研究复杂的非定常运动状态下扑翼飞行器翅翼的气动特性,针对自行研制的一种仿鸟扑翼飞行器建立了翅翼二维非定常空气动力学模型.基于该模型,通过用MATLAB编制计算升力系数和推力系数的程序,计算并分析了各运动参数对升力和推力特性的影响.结果表明,相位差对推力系数的影响较大,而升力系数随迎角的变化较快.     

扑翼飞行高升力机制仿真及对比分析

扑翼飞行生物因其高效的飞行方式和灵活的机动性能,受到越来越多学者的关注和研究。针对扑翼飞行生物如何利用非定常空气力学,通过拍动翅膀实现高升力达到与自身重力平衡的问题,系统分析了扑翼飞行生物高升力机制,对每种高升力机制在扑翼飞行器样机上的应用进行了总结,并建立了高升力机制翼面拍动的运动学模型,对比分析了三种高升力机制的特点和差异。仿真分析得出每种运动学模型翼面拍动轨迹,可为扑翼飞行器翼面驱动机构的设计提供参考。     

微型飞行器的设计原则和策略

为了探索微型飞行器(MAV)总体设计方法,在简要介绍微型飞行器的概念与技术难点的基础上,笔者根据多年的MAV研究和试验,提出了对微型飞行器设计原则的思考,阐述了研究性和实用性MAV以及固定翼、扑翼和旋翼等不同类型MAV的设计特点。通过MAV设计的矛盾与协调关系、设计方法和优化问题说明了MAV设计的特殊性。最后,展望了微型飞行器设计的发展方向,为微型飞行器总体设计研究提供了参考思路。     

Unsteady aerodynamics and flow control for flapping wing flyers

The creation of micro air vehicles (MAVs) of the same general sizes and weight as natural fliers has spawned renewed interest in flapping wing flight. With a wingspan of approximately 15 cm and a flight speed of a few meters per second, MAVs experience the same low Reynolds number (10⁴–10⁵) flight conditions as their biological counterparts. In this flow regime, rigid fixed wings drop dramatically in aerodynamic performance while flexible flapping wings gain efficacy and are the preferred propulsion method for small natural fliers. Researchers have long realized that steady-state aerodynamics does not properly capture the physical phenomena or forces present in flapping flight at this scale. Hence, unsteady flow mechanisms must dominate this regime. Furthermore, due to the low flight speeds, any disturbance such as gusts or wind will dramatically change the aerodynamic conditions around the MAV. In response, a suitable feedback control system and actuation technology must be developed so that the wing can maintain its aerodynamic efficiency in this extremely dynamic situation; one where the unsteady separated flow field and wing structure are tightly coupled and interact nonlinearly. For instance, birds and bats control their flexible wings with muscle tissue to successfully deal with rapid changes in the flow environment. Drawing from their example, perhaps MAVs can use lightweight actuators in conjunction with adaptive feedback control to shape the wing and achieve active flow control. This article first reviews the scaling laws and unsteady flow regime constraining both biological and man-made fliers. Then a summary of vortex dominated unsteady aerodynamics follows. Next, aeroelastic coupling and its effect on lift and thrust are discussed. Afterwards, flow control strategies found in nature and devised by man to deal with separated flows are examined. Recent work is also presented in using microelectromechanical systems (MEMS) actuators and angular speed variation to achieve active flow control for MAVs. Finally, an explanation for aerodynamic gains seen in flexible versus rigid membrane wings, derived from an unsteady three-dimensional computational fluid dynamics model with an integrated distributed control algorithm, is presented.     

微型扑翼飞行器风洞试验初步研究

 为了对微型扑翼飞行器空气动力学基本特性进行定量研究，利用西北工业大学微型飞行器专用风洞对微型扑翼飞行器机翼进行初步风洞吹风试验。试验中进行了扑动频率、风速、迎角、机翼平面形状、翼型弯度对机翼气动特性影响的研究。通过试验得出了微型扑翼飞行器升力、推力产生的基本规律，为微型扑翼飞行器总体设计和气动设计提供了参考。     

Flapping and flexible wings for biological and micro air vehicles

Micro air vehicles (MAVs) with wing spans of 15 cm or less, and flight speed of 30–60 kph are of interest for military and civilian applications. There are two prominent features of MAV flight: (i) low Reynolds number (10⁴–10⁵), resulting in unfavorable aerodynamic conditions to support controlled flight, and (ii) small physical dimensions, resulting in certain favorable scaling characteristics including structural strength, reduced stall speed, and low inertia. Based on observations of biological flight vehicles, it appears that wing motion and flexible airfoils are two key attributes for flight at low Reynolds number. The small size of MAVs corresponds in nature to small birds, which do not glide like large birds, but instead flap with considerable change of wing shape during a single flapping cycle. With flapping and flexible wings, birds overcome the deteriorating aerodynamic performance under steady flow conditions by employing unsteady mechanisms. In this article, we review both biological and aeronautical literatures to present salient features relevant to MAVs. We first summarize scaling laws of biological and micro air vehicles involving wing span, wing loading, vehicle mass, cruising speed, flapping frequency, and power. Next we discuss kinematics of flapping wings and aerodynamic models for analyzing lift, drag and power. Then we present issues related to low Reynolds number flows and airfoil shape selection. Recent work on flexible structures capable of adjusting the airfoil shape in response to freestream variations is also discussed.     

柔性扑翼微型飞行器升力和推力机理的风洞试验和飞行试验

为探讨柔性扑翼微型飞行器产生升力和推力的机理,在研究考虑柔性大变形扑翼气动力计算方法基础上,利用南京航空航天大学低速风洞进行了不同扑动频率、迎角、速度下微型扑翼升力、推力的变化和动态流场显示等风洞实验,并与计算结果进行了比较分析,为微型扑翼机的设计提供了的参考依据.自行研制的微型柔性结构扑翼机成功地进行了飞行试验.      

Flapping wing micro-aerial-vehicle:Kinematics,membranes, and flapping mechanisms of ornithopter and insect flight

The application of biomimetics in the development of unmanned-aerial-vehicles (UAV) has advanced to an exceptionally small scale of nano-aerial-vehicles (NAV), which has surpassed its immediate predecessor of micro-aerial-vehicles (MAV), leaving a vast range of development possi-bilities that MAVs have to offer. Because of the prompt advancement into the NAV research devel-opment, the true potential and challenges presented by MAV development were never solved, understood, and truly uncovered, especially under the influence of transition and low Reynolds number flow characteristics. This paper reviews a part of previous MAV research developments which are deemed important of notification; kinematics, membranes, and flapping mechanisms ranges from small birds to big insects, which resides within the transition and low Reynolds number regimes. This paper also reviews the possibility of applying a piezoelectric transmission used to pro-duce NAV flapping wing motion and mounted on a MAV, replacing the conventional motorized flapping wing transmission. Findings suggest that limited work has been done for MAVs matching these criteria. The preferred research approach has seen bias towards numerical analysis as com-pared to experimental analysis.