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2019 International Conference on Unmanned Aircraft Systems (ICUAS)最新文献

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Design and Implementation of an Artificial Neural Network Wavelet for Load Transportation with two Unmanned Aircraft Systems 人工神经网络小波在两架无人机载荷运输中的设计与实现
Pub Date : 2019-06-11 DOI: 10.1109/ICUAS.2019.8798097
C. Vargas, J. S. Cansino, E. S. E. Quesada, L. G. Carrillo, L. Ramos-Velasco, R. Lozano
This paper deals with the problem of enabling a team of two Unmanned Aircraft Systems to perform an autonomous load transportation task. We propose a strategy whose main objective is to ensure a stable flight of the team of agents when cooperatively transporting the load. The strategy is based on the implementation of a neural network controller and a neural network estimator, using wavelet activation functions in combination with a cooperative multi-agent control approach. To show the effectiveness and applicability of the proposed framework, a real time experimental implementation is presented. Additionally, a comparison with respect to a classic control law is also provided, demonstrating the superior performance attained when adopting the proposed controller.
本文研究了一个由两个无人机系统组成的团队执行自主载荷运输任务的问题。我们提出了一种策略,其主要目标是确保代理团队在合作运输货物时飞行稳定。该策略基于神经网络控制器和神经网络估计器的实现,将小波激活函数与多智能体协作控制方法相结合。为了证明该框架的有效性和适用性,给出了一个实时实验实现。此外,还提供了与经典控制律的比较,证明了采用所提出的控制器所获得的优越性能。
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引用次数: 0
Observer-based Super Twisting Controller Robust to Wind Perturbation for Multirotor UAV 基于观测器的多旋翼无人机抗风扰动超扭转控制器
Pub Date : 2019-06-11 DOI: 10.1109/ICUAS.2019.8798307
H. Hamadi, B. Lussier, I. Fantoni, C. Francis, H. Shraim
Control design for multi rotors UAV is an important challenge for engineers and scientists, due to the fact that the standard configurations are under-actuated, highly nonlinear, and unstable systems. In this paper, a wind force compensation strategy is proposed for a quadrotor. This strategy relies on a second order sliding mode controller based on the super twisting algorithm (STA) with an observer. Second order sliding mode technique ensures robustness to external disturbances and time varying, parametric and nonlinear uncertainties. Integration of an observer in the closed-loop system is needed for states reconstruction and the estimation of unknown external forces such as the wind effect. This estimation will allow a better monitoring of the system’s status than passive robustness, providing the opportunity for recovery tactics such as an emergency landing when the external perturbations become too strong for the system. The effectiveness of the proposed strategy is compared to an adaptative gain controller through simulation and validated in real experiments on a quadrotor.
由于多旋翼无人机的标准结构是欠驱动、高度非线性和不稳定的系统,因此控制设计对工程师和科学家来说是一个重要挑战。针对四旋翼飞行器,提出了一种风力补偿策略。该策略依赖于基于超扭转算法(STA)的二阶滑模控制器和观测器。二阶滑模技术保证了对外界干扰和时变、参数和非线性不确定性的鲁棒性。在闭环系统中集成观测器是进行状态重建和估计未知外力(如风效应)的必要条件。与被动鲁棒性相比,这种估计可以更好地监测系统的状态,为恢复策略提供机会,例如当外部扰动对系统来说太强时紧急着陆。通过仿真比较了该策略与自适应增益控制器的有效性,并在四旋翼飞行器上进行了实际实验验证。
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引用次数: 11
A Simple Model for Gliding and Low-Amplitude Flapping Flight of a Bio-Inspired UAV 仿生无人机滑翔和低幅扑动飞行的简单模型
Pub Date : 2019-06-11 DOI: 10.1109/ICUAS.2019.8798233
A. Martín-Alcántara, P. Grau, R. Fernández-Feria, A. Ollero
Inspired by the efficiency of soaring birds in crossing very large distances with barely flap their wings, this work presents a simple model of UAV that, adopting the capabilites of these animals, could improve the existent multi-rotor devices, not only in efficiency but also in safety and accessibility. Thus, simple analytical approximations to reproduce the behavior of flapping wings UAVs are explored, expecting their integration in on-board CPUs to be solved in real-time flight episodes. A comparison between gliding and wing flapping with these models indicates that the thrust generated by wingstrokes should be controlled in further studies in order to mitigate the oscillations along the path of the vehicle. The geometric parameters of the ornithopter are found to be decisive in this sense, so special attention should be paid during the design stage.
受翱翔的鸟类几乎不拍打翅膀就能跨越很远的距离的效率的启发,本工作提出了一种简单的无人机模型,该模型采用了这些动物的能力,可以改进现有的多旋翼装置,不仅在效率上,而且在安全性和可及性上。因此,探索了简单的解析近似来再现扑翼无人机的行为,期望在实时飞行事件中解决其在机载cpu中的集成问题。通过对滑翔和扑翼模型的比较表明,在进一步的研究中,为了减轻飞行器沿路径的振荡,应控制翼冲程产生的推力。在这个意义上,发现扑翼机的几何参数是决定性的,因此在设计阶段应特别注意。
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引用次数: 13
Asymptotic Stability Controller Design of Three Fixed-wing UAVs Formation with Windy Field 三种固定翼无人机编队风场渐近稳定控制器设计
Pub Date : 2019-06-11 DOI: 10.1109/ICUAS.2019.8798314
Pu Zhang, Huifeng Xue, Shan Gao
This paper addressed a well documented open problem on the asymptotic flight-stability of the closed-loop system in the process of the windy field for a three fixed-wing unmanned aerial vehicles (UAVs) formation. The problem of stability can be converted to the analysis of dynamic response and steady-state error. The robust control compared with phononic crystal control method, it can realize the high speed and close cooperative formation of precision combat. Adding phononic crystal is not only capable of reducing the body vibration and steady-state tracking error, but also owns better robustness. The horizontal dynamic analysis of the formation of UAVs is carried out in the presence of external unknown factors. Then, an “integrated” controller is designed to control leader’s speed so that “follower” can track the “leader” in the case of decoupling, while maintaining the consensus of relative speed. The simulation results show that the “integrated” control method integrates the advantages of robust control and phononic crystal vibration attenuation.
本文研究了三翼固定翼无人机编队在风场过程中闭环系统的渐近飞行稳定性问题。稳定性问题可以转化为动态响应和稳态误差的分析。与声子晶体控制方法相比,该方法具有鲁棒性,可实现高速、紧密协同编队的精确作战。加入声子晶体不仅能够降低机体振动和稳态跟踪误差,而且具有更好的鲁棒性。在存在外部未知因素的情况下,对无人机编队进行了水平动力学分析。然后,设计一个“集成”控制器来控制leader的速度,使“follower”在解耦的情况下能够跟踪leader,同时保持相对速度的共识。仿真结果表明,“一体化”控制方法综合了鲁棒控制和声子晶体振动衰减的优点。
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引用次数: 2
Robust Navigation System for UAVs in GNSS-and Magnetometer-Denied Environments gnss -磁强计环境下无人机鲁棒导航系统
Pub Date : 2019-06-11 DOI: 10.1109/ICUAS.2019.8797933
P. H. Mathisen, T. Fossen
Navigating in environments where GNSS- and magnetometer measurements are unreliable can lead to a significant decrease in state estimation accuracy. The use of supplementary measurements, either from optical sensors or otherwise, could enhance the state estimates notably even when at low quality. Using inertial navigation corrected by a multiplicative extended Kalman filter, state estimation is performed on a simulated UAV in motion. This paper has investigated the effect of adding measurements of body-fixed velocity and specific force as reference vectors to the navigation systems of UAVs in GNSS- and magnetometer denied environments. A case study for each of the two measured vectors is performed, and compared to a reference flight without dropout of GNSS or magnetometer, and a flight with dropout, but without any additional aiding sensor.
在GNSS和磁力计测量不可靠的环境中导航可能导致状态估计精度显著降低。使用辅助测量,无论是来自光学传感器还是其他方式,都可以显著提高状态估计,即使是在低质量的情况下。利用乘式扩展卡尔曼滤波修正的惯性导航,对模拟的无人机进行运动状态估计。研究了在GNSS和磁强计拒绝环境下,增加定体速度和比力测量值作为参考矢量对无人机导航系统的影响。对两个测量向量中的每一个进行了案例研究,并与没有GNSS或磁力计辍学的参考飞行和辍学但没有任何额外辅助传感器的飞行进行了比较。
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引用次数: 3
Data Quality Aware Flight Mission Design for Fugitive Methane Sniffing using Fixed Wing sUAS 固定翼无人机在逃甲烷嗅探数据质量感知飞行任务设计
Pub Date : 2019-06-11 DOI: 10.1109/ICUAS.2019.8798176
Derek Hollenbeck, Moataz Dahabra, L. Christensen, Y. Chen
This paper describes a data quality aware framework for developing a repeatable flight mission design for fugitive methane sniffing missions using fixed wing small unmanned aerial systems (sUAS) in rural areas. The design outlines general aircraft requirements & performance characteristics as well as overviews required sensors and their performance & data quality considerations. Using Gaussian plume models, atmospheric stability and detection experiments from previous works - we outline a mission design that focuses on detection of downwind plume using a two flux plane flight path. This mission design aims to aid future efforts in improving flux quantification accuracy, uncertainty and comparison between individual experiments.
本文描述了一个数据质量感知框架,用于在农村地区使用固定翼小型无人机系统(sUAS)开发可重复飞行任务设计,用于逃亡甲烷嗅探任务。该设计概述了飞机的一般要求和性能特征,概述了所需的传感器及其性能和数据质量考虑因素。利用高斯羽流模型、大气稳定性和先前工作中的探测实验,我们概述了一个任务设计,重点是使用双通量平面飞行路径检测顺风羽流。该任务设计旨在帮助未来提高通量量化精度,不确定性和单个实验之间的比较。
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引用次数: 5
Monitor-Centric Mission Definition With Sophrosyne 以监测为中心的任务定义与soprosyne
Pub Date : 2019-06-11 DOI: 10.1109/ICUAS.2019.8797898
Louis Viard, P. Moreau
The operations of Cyber-Physical Systems – such as Unmanned Aircrafts - are drastically evolving. Worked up legislations are enabling new kinds of tasks in complex environments, inducing a change of policy in mission definition. Handling the consequent risks not only calls for verification of both the system and its mission, but it also requires to keep watch on the gap between the real world and the models that were used to get these guarantees. Furthermore, fallback missions ought to be specified to mitigate the occurence of undesired events.We introduce Sophrosyne, a Domain-Specific Language for CPS operation that integrates monitors and alternative behaviours definition as part of the specification of missions. A simple geofence-related case study showcases how Sophrosyne eases the management of tangled fallbacks.
网络物理系统(如无人驾驶飞机)的操作正在急剧发展。制定的立法使复杂环境下的新任务成为可能,导致任务定义政策的变化。处理随之而来的风险不仅需要对系统及其任务进行验证,而且还需要密切关注现实世界与用于获得这些保证的模型之间的差距。此外,应该指定后撤任务,以减少意外事件的发生。我们介绍了soprosyne,这是一种用于CPS操作的领域特定语言,它将监视器和替代行为定义集成为任务规范的一部分。一个简单的地理防御相关案例研究展示了soprosyne如何简化纠结的回退管理。
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引用次数: 3
A UAV Resolution and Waveband Aware Path Planning for Onion Irrigation Treatments Inference 基于无人机分辨率和波段感知的洋葱灌溉处理推断路径规划
Pub Date : 2019-06-11 DOI: 10.1109/ICUAS.2019.8798188
Haoyu Niu, Tiebiao Zhao, Dong Wang, Y. Chen
In the past few years, unmanned aerial vehicles (UAVs), also called drones, have been widely used in precision agriculture applications, such as water stress estimation, pest monitoring, and crop yield estimation, because of the development of UAV technology and remote sensing sensors. However, how to collect data effectively can still be a big challenge. Many UAV tunable parameters can have significant impact on data quality and the data analysis, such as flight height, flight time, overlapping, and airspeed. And, little work has been done regarding to how to extract high-resolution multispectral or thermal images with limited ground-truth measurements. Therefore, in this paper, a UAV resolution and waveband aware design was conducted in order to optimally collecting remote sensing aerial images with drones. Then, the flight mission design was tested in an onion field at USDA (United States Department of Agriculture) during the growing season in 2017. Based on the research results, drones successfully provide farmers and researchers the fundamental knowledge of irrigation management to identify irrigation non-uniformity. Using multispectral and thermal images collected by drones, we are able to apply supervised learning methods to find the relationship between image features and onions irrigation treatments. It also found out that how drones flight height or resolution settings affect the accuracy of estimating onions irrigation treatment. Different spectral bands combination also has effect on onion irrigation treatment prediction.
在过去的几年里,由于无人机技术和遥感传感器的发展,无人驾驶飞行器(UAV)也被称为无人机,在精准农业应用中得到了广泛的应用,如水分胁迫估计、害虫监测、作物产量估计等。然而,如何有效地收集数据仍然是一个巨大的挑战。许多无人机可调参数会对数据质量和数据分析产生重大影响,例如飞行高度、飞行时间、重叠和空速。而且,关于如何在有限的地面真值测量下提取高分辨率多光谱或热图像的研究很少。因此,本文进行了无人机分辨率和波段感知设计,以优化无人机遥感航拍图像的采集。然后,在2017年的洋葱生长季节,飞行任务设计在美国农业部的一个洋葱田进行了测试。基于研究结果,无人机成功地为农民和研究人员提供了灌溉管理的基本知识,以识别灌溉不均匀性。利用无人机收集的多光谱和热图像,我们能够应用监督学习方法来找到图像特征与洋葱灌溉处理之间的关系。该研究还发现,无人机的飞行高度和分辨率设置如何影响估计洋葱灌溉处理的准确性。不同光谱波段组合对洋葱灌溉处理预测也有影响。
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引用次数: 17
Hybrid autogyro: Airborne wind gust energy conversion using autorrotation 混合自陀螺:利用自旋转进行空中阵风能量转换
Pub Date : 2019-06-11 DOI: 10.1109/ICUAS.2019.8797941
J. Flores, S. Salazar, R. Lozano
An hybrid autogyro aircraft with wind energy conversion using autorotation is proposed. The fixed wing addition to classic autogyro assists the aircraft lifting reducing speed minimum wind for the flight. A PID control strategy is used to attitude aircraft stabilization. In order to verify the generation of energy, the relationship between energy and wind speed are recorded during experimental flights.
提出了一种利用自旋方式进行风能转换的混合自旋翼飞行器。经典自旋翼的固定翼辅助飞机提升,降低飞行速度最小风。采用PID控制策略实现姿态飞行器的稳定。为了验证能量的产生,在实验飞行中记录了能量与风速的关系。
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引用次数: 1
Increasing Perception Space of a Ground Standing Robot via Data Transmission from an Aerial Robot 利用空中机器人的数据传输增加地面机器人的感知空间
Pub Date : 2019-06-11 DOI: 10.1109/ICUAS.2019.8798088
Kiwon Sohn, M. Murshid
In this paper, an approach to increase perception space of a ground standing robot via data transmission from an aerial robot is presented. Since the collected point cloud data from two robots have different coordinates, a rigid registration based approach is applied to align the coordinate of the aerial robot’s perception space to the ground robot’s one. First, the static markers which are attached to the base position of the ground robot are used to compute the transformation. However, they did not work properly when the markers are accidentally invisible due to its kinematic limits. To solve the issue, the dynamic markers which are attached to both fixed (base) and movable links of the ground robot are also studied. To account for kinematic changes of dynamic markers, forward kinematics of the ground robot’s limb is iteratively updated and applied to the rigid transformation computation. The both approaches were tested and evaluated through experiments with a full-sized armed robot and a drone in a mock-up of task field.
本文提出了一种利用空中机器人的数据传输来增加地面站立机器人感知空间的方法。由于两个机器人采集的点云数据具有不同的坐标,因此采用基于刚性配准的方法对空中机器人的感知空间坐标与地面机器人的感知空间坐标进行对齐。首先,利用附着在地面机器人基座位置上的静态标记进行变换计算。然而,由于其运动学限制,当标记偶然不可见时,它们无法正常工作。为了解决这一问题,还研究了地面机器人固定(底座)和活动连杆上的动态标记。为了考虑动态标记的运动变化,迭代更新地面机器人肢体的正运动学,并将其应用于刚性变换计算。这两种方法都通过一个全尺寸的武装机器人和一个无人机在模拟任务现场的实验进行了测试和评估。
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引用次数: 1
期刊
2019 International Conference on Unmanned Aircraft Systems (ICUAS)
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