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A method for evaluating the wind disturbance rejection capability of a hybrid UAV in the quadrotor mode 一种评估混合动力无人机在四旋翼模式下抗风扰能力的方法
IF 1.4 4区 工程技术 Q2 ENGINEERING, AEROSPACE Pub Date : 2019-08-01 DOI: 10.1177/1756829319869647
Hang Zhang, Bifeng Song, Haifeng Wang, J. Xuan
The wind disturbance rejection capability of a quadrotor fixed-wing hybrid unmanned aerial vehicle (QFHUAV) in the quadrotor mode is an important factor restricting its large-scale applications. In this paper, based on static equilibrium analysis of the quadrotor mode of a QFHUAV with a wind disturbance, a method for analyzing and evaluating the wind disturbance rejection capability of the QFHUAV in the quadrotor mode is presented. The six degrees-of-freedom (6-DOF) static equilibrium equations of the QFHUAV are established in headwind and crosswind situations. The maximum wind velocity that satisfies the equilibrium equations under the constraints of the maximum thrust and torque of the quadrotor propulsion system is used to determine the wind disturbance rejection capability of the QFHUAV in the quadrotor mode. A QFHUAV with a twin-boom is used as an example to analyze and evaluate its wind disturbance rejection capability in the quadrotor mode. The configuration parameters, quadrotor propulsion system parameters, and aerodynamic parameters affecting the wind disturbance rejection capability of the QFHUAV in the quadrotor mode are presented, discussed, and explained. The yawing moment from the wind disturbance is the main factor threatening the safe flight of the QFHUAV in the quadrotor mode. The rotor disk angle, the maximum thrust of the quadrotor propulsion system, and the moment arms of the components of the quadrotor propulsion system thrust are the main factors affecting the wind disturbance rejection capability of the QFHUAV in the quadrotor mode. Increasing these parameter values is an effective approach to improve the wind disturbance rejection capability of the QFHUAV in the quadrotor mode. From the perspective of wind disturbance rejection capability, tailless and X-type layouts are better choices for QFHUAVs. The correctness of results obtained by the proposed method is verified by two flight test schemes.
四旋翼固定翼混合动力无人机在四旋翼模式下的抗风扰动能力是制约其大规模应用的重要因素。本文在对四旋翼飞行器在风扰动作用下的静平衡分析的基础上,提出了一种四旋翼飞行器抗风扰动能力的分析与评价方法。建立了逆风和侧风条件下qfwav的六自由度静力平衡方程。在四旋翼推进系统最大推力和扭矩约束下满足平衡方程的最大风速,用于确定四旋翼模式下QFHUAV的抗风扰动能力。以双臂qfwav为例,对其四旋翼抗风能力进行了分析和评价。对四旋翼模式下影响QFHUAV抗风能力的构型参数、四旋翼推进系统参数和气动参数进行了分析、讨论和解释。风扰动引起的偏航力矩是威胁四旋翼无人机安全飞行的主要因素。旋翼盘角、四旋翼推进系统的最大推力、四旋翼推进系统各部件的力臂推力是影响四旋翼模式下QFHUAV抗风扰动能力的主要因素。提高这些参数值是提高四旋翼模式下QFHUAV抗风扰动能力的有效途径。从抗风扰动能力来看,无尾布局和x型布局是qfhuav较好的选择。通过两种飞行试验方案验证了所提方法的正确性。
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引用次数: 15
KUBeetle-S: An insect-like, tailless, hover-capable robot that can fly with a low-torque control mechanism KUBeetle-S:一种外形像昆虫、无尾、能够悬停的机器人,可以通过低扭矩控制机构飞行
IF 1.4 4区 工程技术 Q2 ENGINEERING, AEROSPACE Pub Date : 2019-07-01 DOI: 10.1177/1756829319861371
H. Phan, S. Aurecianus, T. Kang, H. Park
For an insect-like tailless flying robot, flapping wings should be able to produce control force as well as flight force to keep the robot staying airborne. This capability requires an active control mechanism, which should be integrated with lightweight microcontrol actuators that can produce sufficient control torques to stabilize the robot due to its inherent instability. In this work, we propose a control mechanism integrated in a hover-capable, two-winged, flapping-wing, 16.4 g flying robot (KUBeetle-S) that can simultaneously change the wing stroke-plane and wing twist. Tilting the stroke plane causes changes in the direction of average thrust and the wing twist distribution to produce control torques for pitch and roll. For yaw (heading change), root spars of left and right wings are adjusted asymmetrically to change the wing twist during flapping motion, resulting in yaw torque generation. Changes in wing kinematics were validated by measuring wing kinematics using three synchronized high-speed cameras. We then performed a series of experiments using a six-axis force/torque load cell to evaluate the effectiveness of the control mechanism via torque generation. We prototyped the robot by integrating the control mechanism with sub-micro servos as control actuators and flight control board. Free flight tests were finally conducted to verify the possibility of attitude control.
对于类昆虫无尾飞行机器人来说,扇动翅膀既要产生控制力,又要产生飞行力,使机器人保持在空中。这种能力需要一个主动控制机制,它应该与轻量级的微控制执行器集成,可以产生足够的控制扭矩来稳定机器人,因为它固有的不稳定性。在这项工作中,我们提出了一种集成在具有悬停能力的双翼扑翼16.4 g飞行机器人(KUBeetle-S)中的控制机制,该机制可以同时改变机翼冲程-平面和机翼扭曲。倾斜冲程平面会引起平均推力方向和机翼捻度分布的改变,从而产生俯仰和滚转的控制力矩。偏航(航向改变)时,左右翼根梁不对称调整,改变扑翼运动时机翼扭转,产生偏航力矩。通过使用三个同步高速摄像机测量机翼运动学,验证了机翼运动学的变化。然后,我们使用六轴力/扭矩称重传感器进行了一系列实验,以评估通过扭矩产生的控制机制的有效性。我们将控制机构与亚微伺服作为控制执行器和飞行控制板集成在一起,对机器人进行了原型设计。最后进行了自由飞行试验,以验证姿态控制的可能性。
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引用次数: 46
Preliminary operational aspects of microwave-powered airship drone 微波动力飞艇无人机的初步操作方面
IF 1.4 4区 工程技术 Q2 ENGINEERING, AEROSPACE Pub Date : 2019-07-01 DOI: 10.1177/1756829319861368
K. D. Song, Jaehwan Kim, J. W. Kim, Yeonjoon Park, J. Ely, H. Kim, Sang H. Choi
This paper reports the development of an experimental airship drone powered by microwave as a precursor toward a large-scale airship drone for cargo transportation in mind under the collaboration with U.S. Federal Highway Administration and universities. Research work on a 2.2-m long airship drone powered by X-band microwave has provided sufficient data for the design and analysis for the operation of airship drone. A block of 16 rectenna array sheets of X-band was placed on each side of the airship drone (total 32 sheets) to collect and convert microwave power into direct current power for running the electrical propulsion system. The demonstration of the airship drone operation, powered only by microwave, was successfully performed inside the High Intensity Radiation Facility chamber located at NASA Langley Research Center. The data show the feasibility of practical use of microwave power for a transportation airship drone.
本文报告了在美国联邦公路管理局和大学的合作下,开发一种由微波驱动的实验性飞艇无人机,作为大型货运飞艇无人机的先驱。以X波段微波为动力的2.2米长飞艇无人机的研究工作为飞艇无人机运行的设计和分析提供了充足的数据。在飞艇无人机的每一侧放置一块由16块X波段矩形天线阵列片组成的块(共32块),以收集微波功率并将其转换为直流功率,用于运行电力推进系统。仅由微波驱动的飞艇无人机操作演示在位于美国国家航空航天局兰利研究中心的高强度辐射设施室内成功进行。数据表明,微波功率在运输飞艇无人机上的实际应用是可行的。
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引用次数: 8
A simulation-based approach to modeling component interactions during design of flapping wing aerial vehicles 一种基于仿真的扑翼飞行器设计过程中部件相互作用建模方法
IF 1.4 4区 工程技术 Q2 ENGINEERING, AEROSPACE Pub Date : 2019-07-01 DOI: 10.1177/1756829318822325
J. Gerdes, Hugh Alan Bruck, Satyandra K. Gupta
A new flapping wing aerial vehicle (FWAV) simulation methodology is presented that combines models of the key subsystems: (1) the actuator, (2) the battery, and (3) the wings. This approach captures component interactions that are inherently coupled in order to realize system-level designs for optimal system performance. The approach demonstrates that coupling between wing sizing, flapping motions, and loading conditions propagate into the motor–battery model to alter system-level performance properties. For the actuator subsystem model, a generalized servo motor using empirically derived coefficients to describe torque and angular velocity bandwidth in terms of voltage and current. This model is coupled with a lithium polymer battery model accounting for the nonlinear voltage drop and capacity derating effects associated with loading conditions. For aerodynamic predictions of the wing subsystem, a blade element model for predicting aerodynamic forces is coupled with an elastic wing deformation model that accounts for bending and twisting of the blade elements. System-level performance is then modeled in a design case study by coupling all of the subsystem models to account for relevant interactions, which generates a design trade space spanning a range of wing sizes, airspeeds, and flapping condition. The results from the simulation offer insight into vehicle configuration settings that provide maximum performance in terms of lift and endurance for the Robo Raven II flapping wing aerial vehicle. Experimental validation of the modeling approach shows good predictive accuracy. In addition, the presented framework offers a generalized approach for coupling interacting subsystems to improve overall predictive accuracy and identify areas where component-level improvements may offer system-level performance gains.
提出了一种新的扑翼飞行器(FWAV)仿真方法,该方法结合了关键子系统的模型:(1)致动器、(2)电池和(3)机翼。这种方法捕获固有耦合的组件交互,以便实现系统级设计以获得最佳系统性能。该方法表明,机翼尺寸、扑动和载荷条件之间的耦合传播到电机-电池模型中,以改变系统级的性能特性。对于致动器子系统模型,广义伺服电机使用经验导出的系数来描述电压和电流方面的转矩和角速度带宽。该模型与锂聚合物电池模型相结合,考虑了与负载条件相关的非线性电压降和容量降额效应。对于机翼子系统的空气动力学预测,用于预测空气动力的叶片元件模型与考虑叶片元件的弯曲和扭曲的弹性机翼变形模型相耦合。然后,在设计案例研究中,通过耦合所有子系统模型来对系统级性能进行建模,以考虑相关的相互作用,从而产生一个跨越一系列机翼尺寸、空速和扑动条件的设计交易空间。模拟结果提供了对飞行器配置设置的深入了解,这些设置为Robo Raven II扑翼飞行器在升力和耐力方面提供了最大性能。实验验证了该建模方法具有良好的预测精度。此外,所提出的框架提供了一种耦合交互子系统的通用方法,以提高整体预测精度,并确定组件级改进可以提供系统级性能增益的领域。
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引用次数: 4
String-based flapping mechanism and modularized trailing edge control system for insect-type FWMAV 虫型FWMAV串型扑翼机构及模块化尾缘控制系统
IF 1.4 4区 工程技术 Q2 ENGINEERING, AEROSPACE Pub Date : 2019-04-01 DOI: 10.1177/1756829319842547
DuHyun Gong, Dawoon Lee, Sang-Joon Shin, Sangyong Kim
This paper presents the design process and experimental results of a brand new flapping and trailing edge control mechanism for a flapping wing micro air vehicle. The flapping mechanism, whose main components are fabricated from string, is suggested and optimized further by a modified pattern search method. The trailing edge control mechanisms for pitching and rolling moments are designed to be attached onto the present flapping mechanism in a modularized fashion. Prototypes of both mechanisms are fabricated and experimentally tested in order to examine the feasibility of the designs. It is expected that the present flapping mechanism will generate enough lift for the total weight of the vehicle. The present control mechanism is found to be able to supply sufficient control moment.
本文介绍了一种新型扑翼微型飞行器扑翼后缘控制机构的设计过程和实验结果。提出了以串为主要部件的扑动机构,并采用改进的模式搜索法对扑动机构进行了优化。后缘俯仰力矩和滚转力矩控制机构被设计成以模块化的方式附加在当前的扑动机构上。为了检验设计的可行性,制作了两种机构的原型并进行了实验测试。预计目前的扑翼机构将产生足够的升力,以满足车辆的总重量。发现现有的控制机构能够提供足够的控制力矩。
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引用次数: 11
A monolithic algorithm for the flow simulation of flexible flapping wings 柔性扑翼流动仿真的整体算法
IF 1.4 4区 工程技术 Q2 ENGINEERING, AEROSPACE Pub Date : 2019-04-01 DOI: 10.1177/1756829319846127
Tao Yang, M. Wei, Kun Jia, James Chen
It has been a challenge to simulate flexible flapping wings or other three-dimensional problems involving strong fluid–structure interactions. Solving a unified fluid–solid system in a monolithic manner improves both numerical stability and efficiency. The current algorithm considered a three-dimensional extension of an earlier work which formulated two-dimensional fluid–structure interaction monolithically under a unified framework for both fluids and solids. As the approach is extended from a two-dimensional to a three-dimensional configuration, a cell division technique and the associated projection process become necessary and are illustrated here. Two benchmark cases, a floppy viscoelastic particle in shear flow and a flow passing a rigid sphere, are simulated for validation. Finally, the three-dimensional monolithic algorithm is applied to study a micro-air vehicle with flexible flapping wings in a forward flight at different angles of attack. The simulation shows the impact from the angle of attack on wing deformation, wake vortex structures, and the overall aerodynamic performance.
模拟柔性扑翼或其他涉及强流固相互作用的三维问题一直是一个挑战。以整体的方式求解统一的流固系统提高了数值稳定性和效率。目前的算法考虑了早期工作的三维扩展,该工作在流体和固体的统一框架下整体地制定了二维流固相互作用。随着方法从二维扩展到三维结构,细胞分裂技术和相关的投影过程变得必要,并在这里说明。模拟了两种基准情况,即剪切流动中的软粘弹性颗粒和通过刚性球体的流动。最后,应用三维整体算法研究了具有柔性扑翼的微型飞行器在不同迎角下的前飞。仿真显示了迎角对机翼变形、尾流结构和整体气动性能的影响。
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引用次数: 7
Vortex filamentation and fragmentation phenomena in flapping motion and effect of aspect ratio and frequency on global strain, rotation, and enstrophy 扑翼运动中的旋涡丝状和碎裂现象以及纵横比和频率对整体应变、旋转和自养的影响
IF 1.4 4区 工程技术 Q2 ENGINEERING, AEROSPACE Pub Date : 2019-03-01 DOI: 10.1177/1756829319836268
Srikanth Goli, Arnab Roy, Subhransu Roy
In the present study, flow field around rigid flat plate wings executing main flapping motion has been studied using phase-locked two-dimensional particle image velocimetry measurements. Experiments have been conducted in water as a fluid medium for an asymmetric upper–lower stroke single degree of freedom main flapping motion. Two different aspect ratio (1.5 and 1.0) rectangular wings at 1.5 and 2.0 Hz flapping frequency in hovering flight mode (advance ratio, J = 0), zero wing pitch angle, and chord-based Reynolds number of the order of 104 have been studied. Velocity field and vorticity field with λ2 criterion information have been obtained for the complete stroke in great detail to reveal the minute aspects of flow dynamics. The flow features during the downstroke and upstroke have been observed to be consistent for all four cases investigated. The predominant characteristic of the flow during downstroke and upstroke has been referred to as vortex filamentation and fragmentation phenomena. Quantities such as circulation, rate of strain, rate of rotation, and enstrophy have been studied to identity the effect of minor change in aspect ratio and flapping frequency. It is found that for higher aspect ratio wing hyperbolic behavior is predominant except for end of downstroke and beginning of upstroke where elliptic behavior is observed. For lower aspect ratio, wing elliptic behavior is predominant except for end of upstroke and beginning of downstroke where hyperbolic behavior is seen. The hyperbolic behavior became stronger at higher frequency. From enstrophy distribution it is evident that higher frequencies play a more dominant role than aspect ratio in determining the budget.
在本研究中,使用锁相二维粒子图像测速仪测量了执行主要扑动的刚性平板机翼周围的流场。已经在水作为流体介质中进行了不对称上下行程单自由度主扑动的实验。两个不同的纵横比(1.5和1.0)矩形机翼,分别为1.5和2.0 Hz悬停飞行模式下的扑动频率(推进比,J = 0)、零机翼桨距角和104量级的基于弦的雷诺数。获得了完整行程的速度场和涡度场的详细信息,揭示了流动动力学的微观方面。已经观察到,在所研究的所有四种情况下,下行和上行期间的流动特征是一致的。在下行和上行过程中,气流的主要特征被称为涡流成丝和碎裂现象。已经研究了循环、应变率、旋转率和自养等量,以确定纵横比和拍打频率的微小变化的影响。研究发现,对于高展弦比机翼,除了下行程结束和上行程开始时观察到椭圆行为外,双曲行为是主要的。对于较低的展弦比,除了上行程结束和下行程开始时可以看到双曲线行为外,机翼的椭圆行为是主要的。双曲线行为在更高的频率下变得更强。从enstrophy分布可以明显看出,在决定预算时,较高的频率比纵横比起着更重要的作用。
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引用次数: 4
A design framework for realizing multifunctional wings for flapping wing air vehicles using solar cells 利用太阳能电池实现扑翼飞行器多功能机翼的设计框架
IF 1.4 4区 工程技术 Q2 ENGINEERING, AEROSPACE Pub Date : 2019-03-01 DOI: 10.1177/1756829319836279
A. Holness, H. Solheim, Hugh Alan Bruck, Satyandra K. Gupta
Long flight durations are highly desirable to expand mission capabilities for unmanned air systems and autonomous applications in particular. Flapping wing aerial vehicles are unmanned air system platforms offering several performance advantages over fixed wing and rotorcraft platforms, but are unable to reach comparable flight times when powered by batteries. One solution to this problem has been to integrate energy harvesting technologies in components, such as wings. To this end, a framework for designing flapping wing aerial vehicle using multifunctional wings using solar cells is described. This framework consists of: (1) modeling solar energy harvesting while flying, (2) determining the number of solar cells that meet flight power requirements, and (3) determining appropriate locations to accommodate the desired number of solar cells. A system model for flapping flight was also developed to predict payload capacity for carrying batteries to provide energy only for power spikes and to enable time-to-land safely in an area where batteries can recharge when the sun sets. The design framework was applied to a case study using flexible high-efficiency (>24%) solar cells on a flapping wing aerial vehicle platform, known as Robo Raven IIIv5, with the caveat that a powertrain with 81% efficiency is used in place of the current servos. A key finding was the fraction of solar flux incident on the wings during flapping was 0.63 at the lowest solar altitude. Using a 1.25 safety factor, the lowest value for the purposes of design will be 0.51. Wind tunnel measurements and aerodynamic modeling of the platform determined integrating solar cells in the wings resulted in a loss of thrust and greater drag, but the resulting payload capacity was unaffected because of a higher lift coefficient. A time-to-land of 2500 s was predicted, and the flight capability of the platform was validated in a netted test facility.
长时间的飞行是非常理想的,以扩大任务能力的无人机系统和自主应用,特别是。扑翼飞行器是一种无人驾驶的空中系统平台,与固定翼和旋翼飞机平台相比,它具有多种性能优势,但在电池供电时无法达到可比的飞行时间。解决这个问题的一种方法是将能量收集技术集成到部件中,比如机翼。为此,提出了一种基于太阳能电池的多功能机翼扑翼飞行器的设计框架。该框架包括:(1)模拟飞行时的太阳能收集,(2)确定满足飞行功率要求的太阳能电池数量,以及(3)确定适当的位置以容纳所需数量的太阳能电池。还开发了一个扑翼飞行的系统模型,以预测携带电池的有效载荷能力,仅为功率峰值提供能量,并确保在太阳下山时电池可以充电的区域安全着陆。该设计框架被应用于一个案例研究中,该案例研究使用柔性高效太阳能电池(>24%)安装在扑翼飞行器平台上,该平台被称为Robo Raven IIIv5,需要注意的是,该平台采用了81%效率的动力系统来取代目前的伺服系统。一个关键的发现是,在最低太阳高度,扑动过程中入射到机翼上的太阳通量的比例为0.63。使用1.25的安全系数,设计的最低值为0.51。风洞测量和平台的空气动力学建模表明,在机翼中集成太阳能电池会导致推力损失和更大的阻力,但由于升力系数更高,因此有效载荷能力不受影响。预计着陆时间为2500s,并在网状试验设施中验证了该平台的飞行能力。
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引用次数: 7
Modelling wing wake and tail aerodynamics of a flapping-wing micro aerial vehicle 扑翼微型飞行器尾迹和尾翼空气动力学建模
IF 1.4 4区 工程技术 Q2 ENGINEERING, AEROSPACE Pub Date : 2019-03-01 DOI: 10.1177/1756829319833674
S. Armanini, J. Caetano, C. D. de Visser, M. Pavel, G. de Croon, M. Mulder
Despite significant interest in tailless flapping-wing micro aerial vehicle designs, tailed configurations are often favoured, as they offer many benefits, such as static stability and a simpler control strategy, separating wing and tail control. However, the tail aerodynamics are highly complex due to the interaction between the unsteady wing wake and tail, which is generally not modelled explicitly. We propose an approach to model the flapping-wing wake and hence the tail aerodynamics of a tailed flapping-wing robot. First, the wake is modelled as a periodic function depending on wing flap phase and position with respect to the wings. The wake model is constructed out of six low-order sub-models representing the mean, amplitude and phase of the tangential and vertical velocity components. The parameters in each sub-model are estimated from stereo-particle image velocimetry measurements using an identification method based on multivariate simplex splines. The computed model represents the measured wake with high accuracy, is computationally manageable and is applicable to a range of different tail geometries. The wake model is then used within a quasi-steady aerodynamic model, and combined with the effect of free-stream velocity, to estimate the forces produced by the tail. The results provide a basis for further modelling, simulation and design work, and yield insight into the role of the tail and its interaction with the wing wake in flapping-wing vehicles. It was found that due to the effect of the wing wake, the velocity seen by the tail is of a similar magnitude as the free stream and that the tail is most effective at 50–70% of its span.
尽管人们对无尾扑翼微型飞行器的设计非常感兴趣,但有尾的配置通常是受欢迎的,因为它们提供了许多好处,如静态稳定性和更简单的控制策略,分离机翼和尾部控制。然而,由于非定常机翼尾流和尾部之间的相互作用,尾部空气动力学非常复杂,通常没有明确建模。我们提出了一种对扑翼尾流进行建模的方法,从而对扑翼机器人的尾部空气动力学进行建模。首先,尾流被建模为一个周期函数,取决于机翼襟翼的相位和相对于机翼的位置。尾流模型由六个低阶子模型组成,代表切向和垂直速度分量的平均值、振幅和相位。使用基于多元单纯形样条的识别方法,从立体粒子图像测速测量中估计每个子模型中的参数。计算的模型以高精度表示测量的尾流,在计算上是可管理的,并且适用于一系列不同的尾部几何形状。然后,在准稳态空气动力学模型中使用尾流模型,并结合自由流速度的影响,来估计尾部产生的力。研究结果为进一步的建模、模拟和设计工作提供了基础,并深入了解了扑翼飞行器中尾部的作用及其与机翼尾流的相互作用。研究发现,由于机翼尾流的影响,尾部看到的速度与自由流的速度大小相似,并且尾部在其翼展的50-70%时最有效。
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引用次数: 12
In-flight model parameter and state estimation using gradient descent for high-speed flight 基于梯度下降的高速飞行模型参数与状态估计
IF 1.4 4区 工程技术 Q2 ENGINEERING, AEROSPACE Pub Date : 2019-01-01 DOI: 10.1177/1756829319833685
S. Li, C. De Wagter, C. D. de Visser, Q. Chu, G. de Croon
High-speed flight in GPS-denied environments is currently an important frontier in the research on autonomous flight of micro air vehicles. Autonomous drone races stimulate the advances in this area by representing a very challenging case with tight turns, texture-less floors, and dynamic spectators around the track. These properties hamper the use of standard visual odometry approaches and imply that the micro air vehicles will have to bridge considerable time intervals without position feedback. To this end, we propose an approach to trajectory estimation for drone racing that is computationally efficient and yet able to accurately estimate a micro air vehicle’s state (including biases) and parameters based on sparse, noisy observations of racing gates. The key concept of the approach is to optimize unknown and difficult-to-observe state variables so that the observations of the racing gates best fit with the known control inputs, estimated attitudes, and the quadrotor dynamics and aerodynamics during a time window. It is shown that a gradient-descent implementation of the proposed approach converges ∼4 times quicker to (approximately) correct bias values than a state-of-the-art 15-state extended Kalman filter. Moreover, it reaches a higher accuracy, as the predicted end-point of an open-loop turn is on average only ∼20 cm away from the actual end-point, while the extended Kalman filter and the gradient descent method with kinematic model only reach an accuracy of ∼50 cm. Although the approach is applied here to drone racing, it generalizes to other settings in which a micro air vehicle may only have sparse access to velocity and/or position measurements.
GPS拒绝环境下的高速飞行是目前微型飞行器自主飞行研究的一个重要前沿。自动无人机比赛通过呈现一个非常具有挑战性的案例来刺激这一领域的进步,该案例具有紧凑的转弯、无纹理的地板和赛道周围充满活力的观众。这些特性阻碍了标准视觉里程计方法的使用,并意味着微型飞行器将不得不在没有位置反馈的情况下跨越相当长的时间间隔。为此,我们提出了一种无人机比赛轨迹估计方法,该方法计算效率高,但能够基于对比赛门的稀疏、噪声观测准确估计微型飞行器的状态(包括偏差)和参数。该方法的关键概念是优化未知和难以观测的状态变量,以便在一个时间窗口内,对赛车门的观测与已知的控制输入、估计的姿态以及四旋翼动力学和空气动力学最为吻合。结果表明,与最先进的15状态扩展卡尔曼滤波器相比,所提出方法的梯度下降实现收敛到(近似)校正偏差值的速度快4倍。此外,它达到了更高的精度,因为开环转弯的预测终点距离实际终点平均只有~20厘米,而扩展卡尔曼滤波器和带有运动学模型的梯度下降方法仅达到~50厘米的精度。尽管该方法在这里应用于无人机比赛,它推广到其他设置,在这些设置中,微型飞行器可能只能稀疏地访问速度和/或位置测量。
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引用次数: 4
期刊
International Journal of Micro Air Vehicles
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