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Dynamic Modeling and Control Law Design of a Fuel-electric Hybrid Multi-rotor UAV 油电混合动力多旋翼无人机动力学建模与控制律设计
IF 1.4 4区 工程技术 Q2 ENGINEERING, AEROSPACE Pub Date : 2022-01-01 DOI: 10.1177/17568293221078925
Xice Xu, Yang Lu, Xufeng Wu
In this paper, the design of control law for a new concept fuel-electric hybrid multi-rotor UAV with lift/attitude control separation is investigated. The remarkable feature of the UAV is that it has a large proportion of fuel weight. Firstly, based on the quasi-coordinate Lagrangian equation and sloshing equivalent model using the multi-mass-spring analogy, the non-linear dynamic model of the UAV considering the fuel slosh dynamics is established. Compared with the existing multi-rotor modeling method, it is more intuitive and accurate to describe the non-linear coupling process of sloshing and UAV's motion degrees of freedom. Secondly, the attitude control law is designed based on the finite-time sliding mode observer and cascaded continuous sliding mode controller to eliminate the adverse effects of fuel sloshing and mass changing, and only using the measurable angles. Furthermore, aiming at the problem of power redundancy of the altitude channel, a memoryless non-linear altitude authority assignment controller based on vertical acceleration is proposed for improving the control performance. Finally, the simulation results of the waypoint flight illustrate the feasibility and effectiveness of the proposed control strategy.
研究了一种升力/姿态控制分离的新概念油电混合多旋翼无人机的控制律设计。UAV的显著特征是它具有很大比例的燃料重量。首先,基于准坐标拉格朗日方程和多质量弹簧类比的晃动等效模型,建立了考虑燃油晃动动力学的无人机非线性动力学模型;与现有的多旋翼建模方法相比,该方法更直观、准确地描述了晃动与无人机运动自由度的非线性耦合过程。其次,设计了基于有限时间滑模观测器和级联连续滑模控制器的姿态控制律,消除了燃料晃动和质量变化的不利影响,并且只利用可测角度;此外,针对高度通道功率冗余问题,提出了一种基于垂直加速度的无记忆非线性高度权限分配控制器,以提高控制性能。最后,航路点飞行仿真结果验证了所提控制策略的可行性和有效性。
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引用次数: 1
Co-simulation platform for geometric design, trajectory control and guidance of racing drones 赛车无人机几何设计、轨迹控制和制导协同仿真平台
IF 1.4 4区 工程技术 Q2 ENGINEERING, AEROSPACE Pub Date : 2022-01-01 DOI: 10.1177/17568293221143785
J.M. Castiblanco Quintero, S. García-Nieto, R. Simarro, J. Salcedo
The design of racing drones brings quite a thrilling challenge from a flight dynamics point of view. This work aims to offer a single-based simulation platform combining its geometric design, trajectory control, and guidance of racing drones. Also, it is reckoned from a pilot’s view in a classic FPV competition. Hence, it is an active platform for studying racing drones’ design founded on dynamics, with fifteen different drone models. It is one of the few existing platforms that combine all aspects of racing drones in a single simulation environment. Also, it is open access via Matlab Central - File Exchange.
从飞行动力学的角度来看,竞速无人机的设计带来了相当激动人心的挑战。这项工作旨在提供一个基于单一的仿真平台,结合其几何设计,轨迹控制和制导的竞速无人机。同时,从典型的FPV比赛中飞行员的角度来计算。因此,它是一个活跃的平台,研究基于动力学的竞速无人机的设计,有15种不同的无人机模型。它是为数不多的现有平台之一,在单一模拟环境中结合了竞速无人机的各个方面。此外,它是通过Matlab中央文件交换开放访问。
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引用次数: 0
Robust design of compact axial compressor 紧凑型轴流压缩机的稳健设计
IF 1.4 4区 工程技术 Q2 ENGINEERING, AEROSPACE Pub Date : 2022-01-01 DOI: 10.1177/17568293221125847
Cong Zeng, Shaowen Chen, Hongyan Liu
The method of connection weights in neural networks was used to analyze the sensitivity of the compressor rotor, and the Back Propagation Neural Network (BPNN) was used to construct the analysis relationship between the compressor rotor's geometries and the performance based on the training and learning of the data base, and the prediction accuracy can reach more than 99.99%. Then the modified Grason Algorithm based on the neural network connect weights was used to quantify the contribution of the geometrical effects on its performance. The result shows that the tip clearance contributes 11.43% (efficiency sensitivity analysis) and 10.18% (pressure ratio sensitivity analysis) to compressor performance changes. This study focuses mainly on the robust optimization of tip clearance. Non-intrusive probability collection point method (NIPC) was adopted for the uncertainty propagation. The robust optimization method based on BPNN agent model coupled with multi-objective genetic algorithm Non-dominated sorting genetic algorithm-II (NSGA II) was used to perform the optimization. Compared to the design prototype, the variance of robust compressor rotor's efficiency could be reduced by 21.04%.
使用神经网络中的连接权值方法分析压缩机转子的灵敏度,并在数据库的训练和学习基础上,使用反向传播神经网络(BPNN)构建压缩机转子几何形状与性能之间的分析关系,然后采用基于神经网络连接权值的改进Grason算法来量化几何效应对其性能的影响。结果表明,叶尖间隙对压缩机性能变化的贡献率为11.43%(效率灵敏度分析)和10.18%(压力比灵敏度分析)。本文主要研究叶尖间隙的鲁棒优化问题。不确定性传播采用非侵入概率采集点法。采用基于BPNN agent模型和多目标遗传算法相结合的鲁棒优化方法——非支配排序遗传算法II(NSGA II)进行优化。与设计原型相比,鲁棒压缩机转子效率的方差可降低21.04%。
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引用次数: 0
Rapid extraction of propeller geometry using photogrammetry 利用摄影测量快速提取螺旋桨几何形状
IF 1.4 4区 工程技术 Q2 ENGINEERING, AEROSPACE Pub Date : 2022-01-01 DOI: 10.1177/17568293221132044
Ellande Tang, Soon-Jo Chung
As small Uninhabited Aerial Vehicles (sUAS) increase in popularity, computational analysis is increasingly being used to model and improve their performance. However, although propeller performance is one of the primary elements in modelling an aircraft, most manufacturers of propellers for this size of vehicle do not publish geometric information for the propeller. The lack of available geometric data makes simulation of propeller aerodynamics challenging. While techniques exist to accurately extract the 3D geometry of a propeller, these methods are often very expensive, time-consuming, or labor intensive. Additionally, typical 3D scanning techniques produce a 3D mesh that is not useful for techniques such as Blade Element Theory (BET), which rely on knowledge of the 2D cross sections along the propeller span. This paper describes a novel workflow to produce point clouds using readily available photo equipment and software and subsequently extract airfoil and propeller blade parameters at specified stations along the propeller span. The described process can be done with little theoretical knowledge of photogrammetry and with minimal human input. The propeller geometry generated is compared against results of established methods of geometry extraction and good agreement is shown.
随着小型无人驾驶飞行器(sUAS)越来越受欢迎,计算分析越来越多地被用于建模和提高其性能。然而,尽管螺旋桨性能是飞机建模的主要因素之一,但这种尺寸的飞行器的大多数螺旋桨制造商都没有公布螺旋桨的几何信息。由于缺乏可用的几何数据,螺旋桨空气动力学模拟具有挑战性。虽然存在精确提取螺旋桨三维几何形状的技术,但这些方法通常非常昂贵、耗时或劳动密集。此外,典型的3D扫描技术产生的3D网格对于诸如叶片单元理论(BET)之类的技术是无用的,该技术依赖于沿螺旋桨跨度的2D横截面的知识。本文描述了一种新的工作流程,使用现成的摄影设备和软件生成点云,然后在螺旋桨跨度的指定位置提取翼型和螺旋桨叶片参数。所描述的过程可以用很少的摄影测量理论知识和最少的人工输入来完成。将生成的螺旋桨几何形状与已建立的几何形状提取方法的结果进行比较,并显示出良好的一致性。
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引用次数: 1
Estimating wind using a quadrotor 使用四旋翼机估算风
IF 1.4 4区 工程技术 Q2 ENGINEERING, AEROSPACE Pub Date : 2022-01-01 DOI: 10.1177/17568293211070824
G. Hattenberger, M. Bronz, Jean-Philippe Condomines
The aim of this work is to estimate the average wind influencing a quadrotor drone only based on standard navigation sensors and equations of motion. It can be used in several situation, including atmospheric studies, trajectory planning under environmental constraints, or as a reference for studying flights in shear layer. For this purpose, a small quadrotor drone with spherical shape has been developed. Flight data are recorded from telemetry during indoor and outdoor flight tests and are post-processed. The proposed solution is based on a calibration procedure with global optimization to extract the drag model and a Kalman Filter for online estimation of the wind speed and direction. Finally, an on-board implementation of the real-time estimation is demonstrated with real flights in controlled indoor environment.
这项工作的目的是仅基于标准导航传感器和运动方程来估计影响四旋翼无人机的平均风。它可以用于多种情况,包括大气研究、环境约束下的轨迹规划,或作为研究剪切层飞行的参考。为此,研制了一种球形的小型四旋翼无人机。飞行数据在室内和室外飞行测试期间通过遥测记录,并进行后处理。所提出的解决方案基于具有全局优化的校准程序来提取阻力模型,以及用于在线估计风速和风向的卡尔曼滤波器。最后,以受控室内环境下的实际飞行为例,演示了实时估计的机载实现。
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引用次数: 3
An implementation framework for vision-based bat-like inverted perching with bi-directionalthrust quadrotor 基于视觉的双向推力四旋翼类蝙蝠倒立栖息实现框架
IF 1.4 4区 工程技术 Q2 ENGINEERING, AEROSPACE Pub Date : 2022-01-01 DOI: 10.1177/17568293211073672
Pengfei Yu, K. Wong
This paper presents an implementation framework to perform a vision-guided, bat-like inverted perching maneuver with a bi-directional thrust quadrotor platform. The framework consists of several distinct modules (guidance, motion planning, control, state estimation) that can be easily be individually customized in the future to meet specific research requirements. The main contribution of this paper lies in the whole framework pipeline with a modular structure developed for implementing a generalized framework for an agile quadrotor to achieve inverted perching. A computationally-light guidance module has been developed as an example to demonstrate the capability while being independent of accurate pre-known target information, and does not require the state estimation of the quadrotor to be provided by an external motion capture system as in our previous work. A motion planning module based on an optimization method has been introduced to generate a two-stage inverted perching trajectory aiming at minimizing altitude loss during the half-flip maneuver. A control module has been developed to enable a bi-directional quadrotor to fly in both upright and inverted states and closely follow the intended trajectory. The compensation strategy used in the control module is key to minimizing the transition time between the upright and inverted states. Finally, an experimental flight platform has been developed to demonstrate the capabilities of the framework. During testing, the proposed framework has achieved an 80 % success rate. To the best of our knowledge, this paper presents the first time a quadrotor has achieved the inverted perching maneuver using onboard vision guidance.
本文提出了一个实现框架,用于在双向推力四旋翼平台上执行视觉引导的蝙蝠状倒立栖息机动。该框架由几个不同的模块(指导、运动规划、控制、状态估计)组成,这些模块可以在未来轻松地进行单独定制,以满足特定的研究要求。本文的主要贡献在于开发了一个模块化结构的整个框架管道,用于实现敏捷四旋翼机的通用框架,以实现反向栖息。已经开发了一个计算轻型制导模块作为示例,以证明该能力,同时独立于准确的已知目标信息,并且不需要像我们之前的工作中那样由外部运动捕获系统提供四旋翼的状态估计。介绍了一种基于优化方法的运动规划模块,用于生成两阶段反向栖息轨迹,旨在最大限度地减少半翻转机动过程中的高度损失。已经开发了一种控制模块,使双向四旋翼飞机能够在直立和倒置状态下飞行,并紧密遵循预期轨迹。控制模块中使用的补偿策略是最小化直立和倒置状态之间的过渡时间的关键。最后,开发了一个实验飞行平台来展示该框架的能力。在测试过程中,所提出的框架获得了80%的成功率。据我们所知,本文介绍了四旋翼飞行器首次使用机载视觉制导实现倒立栖息机动。
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引用次数: 2
On association of lift generation, wake topology and kinematics of oscillating foils 振荡翼升力产生、尾流拓扑和运动学的关联
IF 1.4 4区 工程技术 Q2 ENGINEERING, AEROSPACE Pub Date : 2022-01-01 DOI: 10.1177/17568293211073959
Suyash Verma, M. Khalid, A. Hemmati
The association of lift generation and evolution of wake topology behind an oscillating foil with combined heaving and pitching motion is investigated numerically at a range of bluereduced frequency (0.16 ≤ f * ≤ 0.48), phase offset (0 ∘ ≤ ϕ ≤ 315 ∘ ) and Reynolds number (1000 ≤ R e ≤ 4000). The pitch-dominated kinematics that coincide with the range of ϕ ≤ 120 ∘ and ϕ ≥ 225 ∘ suggests that leading edge vortices are suppressed while trailing edge vortices dominate the wake with increasing reduced frequency. This corresponds to a transition in wake topology from a 2 P to a reverse Von Kármán wake mode. Contrarily, heave dominated kinematics (120 ∘ < ϕ ≤ 225 ∘ ) did not exhibit any wake topology transition with increasing f * . The temporal lift variation associated with heave-dominated regime further revealed a symmetric feature in terms of the time taken to attain peak lift generation within an oscillation cycle. This temporal symmetry was, however, lost as kinematics transitioned from heave- to pitch-dominated regime. Analyzing the wake evolution and lift features at quarter phase of an oscillation cycle revealed the existence of a correspondence between the two processes during the heave- and pitch-dominated kinematics.
在蓝减频率(0.16≤f *≤0.48)、相位偏移(0°≤φ≤315°)和雷诺数(1000≤Re≤4000)范围内,对振荡箔后的升力产生和尾迹拓扑演变与起伏和俯俯向联合运动之间的关联进行了数值研究。俯距主导的运动学与φ≤120°和φ≥225°的范围一致,表明前缘涡被抑制,而后缘涡主导尾流,且频率越来越低。这对应于尾流拓扑从2p到反向Von Kármán尾流模式的过渡。相反,升沉主导的运动(120°< φ≤225°)没有随着f *的增加而表现出任何尾流拓扑转换。与升力主导相关的时间升力变化进一步揭示了在振荡周期内达到峰值升力产生所需时间的对称特征。然而,随着运动学从垂向俯仰主导转变,这种时间对称性丢失了。分析了振荡周期四分之一阶段的尾迹演化和升力特征,揭示了在升沉和俯仰主导的运动过程中,这两个过程之间存在对应关系。
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引用次数: 4
Simulation of the flapping wing aerial vehicle using flexible multibody dynamics 扑翼飞行器柔性多体动力学仿真
IF 1.4 4区 工程技术 Q2 ENGINEERING, AEROSPACE Pub Date : 2021-10-20 DOI: 10.1177/17568293211043305
JaeWon Choi, DuHyun Gong, Junhee Lee, Chongam Kim, SangJoon Shin

An insect-type flapping wing micro aerial vehicle offers high aerodynamic efficiency and maneuverability in confined spaces. The complicated aerodynamic/structural behavior of flapping wing micro aerial vehicle, however, causes difficulties regarding the dynamic control and parametric design. This paper develops a moderately accurate numerical framework taking into account the passive motion of the main wings. Finite-element-based multibody dynamics and two-dimensional unsteady aerodynamics are combined to simulate the hover of a flapping wing micro aerial vehicle. In addition, flexible and rigid wings are compared through numerical simulation considering the flexibility. In terms of the average thrust, numerical simulation by fluid–structure interaction shows good agreements against the experimental results within 5% discrepancy.

昆虫型扑翼微型飞行器具有很高的气动效率和在密闭空间内的机动性。扑翼微型飞行器复杂的气动结构特性给其动力学控制和参数化设计带来了困难。本文建立了一个考虑主翼被动运动的中等精度的数值框架。将基于有限元的多体动力学和二维非定常空气动力学相结合,对扑翼微型飞行器的悬停进行了仿真。此外,通过数值模拟对考虑柔性的柔性翼和刚性翼进行了比较。在平均推力方面,流固耦合的数值模拟结果与实验结果吻合较好,误差在5%以内。
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引用次数: 0
A new nonlinear lifting line method for aerodynamic analysis and deep learning modeling of small unmanned aerial vehicles 基于非线性升力线的小型无人机气动分析与深度学习建模新方法
IF 1.4 4区 工程技术 Q2 ENGINEERING, AEROSPACE Pub Date : 2021-01-01 DOI: 10.1177/17568293211016817
Hasan Karali, G. Inalhan, M. Umut Demirezen, M. Adil Yukselen
In this work, a computationally efficient and high-precision nonlinear aerodynamic configuration analysis method is presented for both design optimization and mathematical modeling of small unmanned aerial vehicles. First, we have developed a novel nonlinear lifting line method which (a) provides very good match for the pre- and post-stall aerodynamic behavior in comparison to experiments and computationally intensive tools, (b) generates these results in order of magnitudes less time in comparison to computationally intensive methods such as computational fluid dynamics. This method is further extended to a complete configuration analysis tool that incorporates the effects of basic fuselage geometries. Moreover, a deep learning based surrogate model is developed using data generated by the new aerodynamic tool that can characterize the nonlinear aerodynamic performance of unmanned aerial vehicles. The major novel feature of this model is that it can predict the aerodynamic properties of unmanned aerial vehicle configurations by using only geometric parameters without the need for any special input data or pre-process phase as needed by other computational aerodynamic analysis tools. The obtained black-box function can calculate the performance of an unmanned aerial vehicle over a wide angle of attack range on the order of milliseconds, whereas computational fluid dynamics solutions take several days/weeks in a similar computational environment. The aerodynamic model predictions show an almost 1-1 coincidence with the numerical data even for configurations with different airfoils that are not used in model training. The developed model provides a highly capable aerodynamic solver for design optimization studies as demonstrated through an illustrative profile design example.
针对小型无人机的设计优化和数学建模,提出了一种计算效率高、精度高的非线性气动构型分析方法。首先,我们开发了一种新的非线性升力线方法,该方法(a)与实验和计算密集型工具相比,可以很好地匹配失速前和失速后的空气动力学行为;(b)与计算密集型方法(如计算流体动力学)相比,可以在更短的时间内生成这些结果。该方法进一步扩展为包含基本机身几何形状影响的完整结构分析工具。此外,利用新气动工具生成的数据,开发了基于深度学习的代理模型,可以表征无人机的非线性气动性能。该模型的主要新颖之处在于,它不需要像其他计算气动分析工具那样需要任何特殊的输入数据或预处理阶段,只需使用几何参数即可预测无人机构型的气动特性。所获得的黑箱函数可以在毫秒量级上计算出无人机在大攻角范围内的性能,而在类似的计算环境下,计算流体动力学的解决方案需要几天/几周的时间。空气动力学模型预测显示几乎1-1的巧合与数值数据,即使配置与不同的翼型,不用于模型训练。所建立的模型为设计优化研究提供了一个高性能的气动求解器,并通过一个外形设计实例进行了验证。
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引用次数: 6
Experimental study on the dynamic behaviour of drones designed for racing competitions 竞赛用无人机动力特性试验研究
IF 1.4 4区 工程技术 Q2 ENGINEERING, AEROSPACE Pub Date : 2021-01-01 DOI: 10.1177/17568293211005757
Jose M Castiblanco, S. García-Nieto, R. Simarro, JV Salcedo
Drones designed for racing usually feature powerful miniaturised electronics embedded in fairly light and strong geometric composite structures. The main objective of this article is to analyse the behaviour of various models of racing drones and their geometrical structures (airframes). Two approaches have been made: (i) an analysis of the information collected by a set of speed and time sensors located on an indoor race track and using a statistical technique (box and whiskers diagram) and (ii) an analysis of the know-how (flight sensations) of a group of racing pilots using a series of technical interviews on the behaviour of their drones. By contrasting these approaches, it has been possible to validate numerically the effects of varying the arm angles, as well as lengths, on a test race track and relate the geometry of these structures to racing behaviour.
为比赛设计的无人机通常具有强大的微型电子设备,嵌入在相当轻而坚固的几何复合结构中。本文的主要目的是分析各种模型的竞速无人机及其几何结构(机身)的行为。采用了两种方法:(i)分析由室内赛道上的一组速度和时间传感器收集的信息,并使用统计技术(盒须图)和(ii)分析一组赛车飞行员的专有技术(飞行感觉),使用一系列技术访谈他们的无人机行为。通过对比这些方法,可以在测试赛道上验证不同臂角和长度的数值影响,并将这些结构的几何形状与赛车行为联系起来。
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引用次数: 3
期刊
International Journal of Micro Air Vehicles
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