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2022 IEEE International Conference on Unmanned Systems (ICUS)最新文献

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UCSAM: A UAV Ground Control System Architecture Supporting Cooperative Control Among Multi-form Stations based on MDA and Container Cloud Platform UCSAM:一种基于MDA和容器云平台的支持多形式站间协同控制的无人机地面控制系统架构
Pub Date : 2022-10-28 DOI: 10.1109/ICUS55513.2022.9986525
Fengyi Jiang, Yongfei Ding, Hao Zhang, Zefan Li, Ruonan Rao
An open, unified and loosely coupled service oriented software architecture of UAV Ground Control System (UGCS) based on container cloud platform is proposed in this paper, which is called “UCSAM”, and can support the collaborative control of UAV among multi-form ground control stations, such as portable, mobile and fixed stations. UCSAM establishes a kind of software computing environment based on the component framework conforming to the OSGi specifications on the client side, the container cloud platform on the server side, and the middleware conforming to the DDS and other transmission protocols between the two, so that the application software components on the client side and the FDSCs(Functional Domain Service Components) on the server side only rely on standardized APIs, so as to realize the architecture features of resource allocation on demand and cross platform portability. On the other hand, UCSAM defines PSM based on Open Application Model (OAM), including message model, service model and application model, which separates FDSC development from the operation and maintenance complexity of infrastructure software. Through a set of tool chains, it realizes the conversion from PIM based on XMI format to PSM based on OAM, code generation based on template and PSM, CI/CD based on GitOps, and dynamic deployment based on AppStore, so as to achieve the architectural goal of dynamic generation of capabilities, and the agile software development mode based on MDA and DevOps. Lastly, several study cases including UAV cooperative application, development of functional domain service components, and application deployment and operation are briefly discussed to verify this architecture's correctness and feasibility.
提出了一种开放、统一、松散耦合、基于容器云平台的无人机地面控制系统(UGCS)面向服务的软件体系结构,即UCSAM,可支持无人机在便携式、移动式、固定式多形式地面控制站之间的协同控制。UCSAM在客户端建立了一种符合OSGi规范的组件框架,在服务器端建立了容器云平台,在两者之间建立了一种符合DDS等传输协议的中间件的软件计算环境,使得客户端应用软件组件和服务器端功能域服务组件(fdsc, Functional Domain Service components)只依赖标准化的api。从而实现资源按需分配和跨平台可移植性的体系结构特点。另一方面,UCSAM基于开放应用模型(OAM)定义了PSM,包括消息模型、服务模型和应用模型,将FDSC开发与基础设施软件的运维复杂性分离开来。通过一套工具链,实现了从基于XMI格式的PIM到基于OAM的PSM、基于模板和PSM的代码生成、基于GitOps的CI/CD、基于AppStore的动态部署的转换,从而达到动态生成能力的架构目标,以及基于MDA和DevOps的敏捷软件开发模式。最后,简要讨论了无人机协同应用、功能领域服务组件开发、应用部署与运行等研究案例,验证了该体系结构的正确性和可行性。
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引用次数: 0
Image-Based Visual Servoing of a Fully-Actuated Hexacopter 全驱动六旋翼机基于图像的视觉伺服
Pub Date : 2022-10-28 DOI: 10.1109/ICUS55513.2022.9986822
Xuetao Zhang, Zhicheng Li, Yisha Liu, Hanzhang Wang, Xuebo Zhang, Yan Zhuang
In this paper, a novel image-based visual servoing (IBVS) approach is proposed for a fully-actuated hexacopter, which allows to maintain a stable attitude with the horizontal movement. In contrast to the existing methods, the key insight is to integrate the IBVS method to the fully-actuated hexacopter, which can alleviate the field of view (FOV) constraint. Specifically, the nonlinear hierarchical position and attitude controller is designed based on its dynamic characteristics. In the outer loop, an new IBVS method with perspective moments is employed to design the force input. The inner loop utilizes the quaternion to generate the torque input. Comparative simulations are conducted to verify that the proposed method can relax the FOV constraint greatly.
针对全驱动六旋翼机,提出了一种新的基于图像的视觉伺服方法,使六旋翼机在水平运动中保持稳定的姿态。与现有方法相比,关键是将IBVS方法集成到全驱动六旋翼飞行器中,以减轻视场约束。具体而言,根据其动态特性设计了非线性层次位置姿态控制器。外环采用了一种新的带视角矩的IBVS方法来设计力输入。内环利用四元数来产生扭矩输入。通过仿真对比,验证了该方法可以大大放宽视场约束。
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引用次数: 0
Bearing-Only Formation Control of Nonholonomic Mobile Agents With Local Reference Frames 局部参照系下非完整移动智能体的方位编队控制
Pub Date : 2022-10-28 DOI: 10.1109/ICUS55513.2022.9986967
Y. Huang, Jianing Zhao, Weiyao Lan, Xiao Yu
In this paper, the bearing-only leader-follower formation control problem for nonholonomic mobile agents in local reference frames is studied. The sensing/communication topology of multi-agent systems is modeled by an undirected graph. The target formation is specified by bearing constraints. The autonomous leaders are moving with a constant velocity which is known to only some followers. Each follower merely measures the bearings and relative orientations of its neighboring agents which are acquired in its local reference frame. To estimate the leaders' information, a distributed observer for each follower is designed. Then, we combine the observer and a developed bearing-only control law with the estimate into a dynamic control law, such that the target formation can be achieved. Finally, we present a simulation example to show the effectiveness of the proposed approach.
研究了局部参照系下非完整移动智能体仅方位的leader-follower群体控制问题。采用无向图对多智能体系统的传感/通信拓扑结构进行建模。目标编队由方位约束指定。自治的领导者以恒定的速度移动,只有一些追随者知道。每个follower仅仅测量在其局部参考系中获得的相邻agent的方位和相对方向。为了估计领导者的信息,为每个追随者设计了一个分布式观测器。然后,我们将观测器和发展的全方位控制律与估计结合成一个动态控制律,从而实现目标编队。最后,通过一个仿真实例验证了该方法的有效性。
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引用次数: 0
Cooperative Route Planning for Fuel-constrained UGV-UAV Exploration 燃油约束下UGV-UAV探索协同路径规划
Pub Date : 2022-10-28 DOI: 10.1109/ICUS55513.2022.9987158
Mingjia Zhang, Huawei Liang, Pengfei Zhou
Heterogeneous UGV-UAV system can efficiently complete large-scale tasks such as exploration and rescue by collaborative operation. This paper proposes a route planner based on a dynamic aggregation strategy to select the time-optimal routes for function-constrained UGV and fuel-constrained UAV to reach all the mission points. To reduce the time consumption of waiting at the take-off point, UGV and UAV are inclined to rendezvous at the next meeting point by no-wait operations. We present a two-step routing strategy to address this cooperative problem. First, the Voronoi diagram and greedy set cover method are used to determine meeting points and task areas. Then, solving a traveling salesman problem to find a UGV path by A-star and Lin-Kernighan heuristic. After that, an adaptive large neighborhood search heuristic is proposed to address vehicle routing problem with recharge for UAV among multiple task areas. The simulation and real experiment results demonstrate that our approach can effectively generate a time-optimal path for UGV-UAV Cooperative exploration.
异构UGV-UAV系统可以通过协同操作高效完成大规模的勘探、救援等任务。提出了一种基于动态聚合策略的路径规划方法,为功能受限的无人驾驶车和燃料受限的无人机选择时间最优的路径到达所有任务点。为了减少在起飞点等待的时间消耗,UGV和UAV倾向于通过不等待操作在下一个集合点集合。我们提出了一个两步路由策略来解决这个合作问题。首先,利用Voronoi图和贪心集覆盖法确定会议点和任务区域;然后,利用a -star启发式和Lin-Kernighan启发式求解旅行商寻找UGV路径的问题。在此基础上,提出了一种自适应大邻域搜索启发式算法来解决无人机在多任务区域间充值的车辆路径问题。仿真和实际实验结果表明,该方法可以有效地生成UGV-UAV协同探索的时间最优路径。
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引用次数: 1
A Discrete-time Intercepting Strategy for Net Capture Using Multiple Unmanned Aerial Vehicles 基于多架无人机的网捕获离散时间拦截策略
Pub Date : 2022-10-28 DOI: 10.1109/ICUS55513.2022.9986777
Jianan Wang, Longze Zhao, Kewei Xia
This paper considers a team of unmanned aerial vehicle (UAV) carrying a capture net as an approach to intercept an aerial intruder. The center of the net is deemed as a virtual interceptor for maneuvering the net approach to the intruder. The UAV team tows the net tensioned so that the can orientate the net plane to an appropriate orientation during the guidance process by controlling the acceleration of each UAV. Simulation results are presented to verify the effectiveness of this intercepting strategy.
本文考虑一组携带捕获网的无人机(UAV)作为拦截空中入侵者的方法。网的中心被认为是一个虚拟拦截器,用于操纵网接近入侵者。无人机队拖拽张紧的网,在导引过程中通过控制各无人机的加速度使网平面定向到合适的方向。仿真结果验证了该拦截策略的有效性。
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引用次数: 0
Hierarchical Sliding Mode Control for Elastic Hypersonic Glide Vehicles Based on Moving Horizon Estimation 基于运动水平估计的弹性高超声速滑翔飞行器分层滑模控制
Pub Date : 2022-10-28 DOI: 10.1109/ICUS55513.2022.9987017
Erkang Chen, Liangcong Zhu, Wei Qiu, Chao Ren, Ding Zhou, Dongzheng Kuang
With the intention of suppressing the aerodynamic/elasticity/control coupling of elastic hypersonic glide vehicles without adding new kinds of sensors and actuators, a kind of hierarchical sliding mode controller based on moving horizon estimation is proposed. In this controller, a kind of moving horizon estimation algorithm is utilized to obtain the full-state information online, based on which the hierarchical sliding mode controller is designed. The hierarchical sliding mode controller based on moving horizon estimation only uses elevator deflection to control the attitude and attenuate the elastic vibration simultaneously. Numerical simulations are carried out to demonstrate that the moving horizon estimation method can provide accurate full state information, and the hierarchical sliding mode control can control the attitude and suppress the elastic vibration simultaneously.
为了在不增加新型传感器和作动器的情况下抑制弹性高超声速滑翔飞行器的气动/弹性/控制耦合,提出了一种基于运动水平估计的分层滑模控制器。在该控制器中,利用一种运动水平估计算法在线获取系统的全状态信息,并在此基础上设计了层次滑模控制器。基于运动水平估计的分层滑模控制器仅利用电梯挠度来控制姿态并同时衰减弹性振动。数值仿真结果表明,运动水平估计方法能提供准确的全状态信息,分层滑模控制能同时控制姿态和抑制弹性振动。
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引用次数: 0
Multi-target Tracking with Random Finite Set in Decentralized Large-scale Sensor Networks 分散大型传感器网络中的随机有限集多目标跟踪
Pub Date : 2022-10-28 DOI: 10.1109/ICUS55513.2022.9986554
Lingfei Su, Xiwang Dong, Yongzhao Hua, Jianglong Yu, Z. Ren
This paper presents the multi-target tracking (MTT) problem in decentralized large-scale sensor networks. A novel random finite set (RFS)-based framework is designed, including an improved Probability Hypothesis Density filter with Gaussian Mixture (GM-PHD) representation, and an improved Generalized Covariance Intersection (GCI) fusion algorithm. For the local GM-PHD filter, the intensity of new-born targets is initialized by pre-segmenting the measurement set to address the uncertainty of measurement origin and the computational burden of large-scale measurements. Then, a sensor node-dependent clutter model is established to deal with the cardinality overestimation problem brought by the decentralized structure. For the proposed fusion algorithm, i.e., fusing the posterior PHDs generated by the proposed GM-PHD filters in a distributed manner, it is based on the idea of compensating the severe missed detection problem of GCI in the case of large-scale fusing resources by arithmetic average (AA) fusion. In this way, GCI and AA can be fully utilized to guarantee the estimation accuracy for common targets and, respectively, the robustness for exclusive targets. A simulation of a decentralized large-scale network demonstrates the effectiveness of the proposed framework with respect to estimation accuracy and computational cost.
研究了分布式大型传感器网络中的多目标跟踪问题。设计了一种基于随机有限集(RFS)的框架,包括改进的高斯混合概率假设密度滤波器(GM-PHD)和改进的广义协方差交集(GCI)融合算法。对于局部GM-PHD滤波器,通过对测量集进行预分割来初始化新生目标的强度,以解决测量原点的不确定性和大规模测量的计算负担。然后,建立了基于传感器节点的杂波模型,解决了分散结构带来的基数估计过高问题。对于本文提出的融合算法,即对GM-PHD滤波器生成的后验博士进行分布式融合,其思想是通过算法平均(AA)融合来补偿大规模融合资源情况下GCI严重的漏检问题。这样,可以充分利用GCI和AA来保证对共同目标的估计精度,对排他目标的估计鲁棒性。对一个分散的大规模网络进行了仿真,证明了该框架在估计精度和计算成本方面的有效性。
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引用次数: 0
Distributed Platoon Control of Connected Vehicles Based on Input-to-state String Stability 基于输入-状态串稳定性的联网车辆分布式排控制
Pub Date : 2022-10-28 DOI: 10.1109/ICUS55513.2022.9987212
Xianzhe Liu, Xuting Duan, Jianshan Zhou, Long Zhang
In this paper, we propose a platoon controller design approach for the vehicular platoon with bounded external disturbances. The vehicle communication between followers are bidirectional, and the leader can transmit its state to all followers. To make sure the platoon can converge to the leader's state with external disturbances, a distributed discontinuous controller is proposed. By introducing input-to-state string stability (ISSS), the states of all followers are proved to be convergent under the leader's bounded inputs and each follower's bounded external disturbances. After solving the linear matrix inequality (LMI) obtained from the convergence analysis, we get the feedback control gains which can make the vehicle platoon stabilized. Besides, with some minor changes to the theorem, the controller can also apply to the platoon system without disturbances. Finally, the effectiveness of the control scheme is confirmed by some numerical simulations.
针对存在有界外部扰动的车辆队列,提出了一种队列控制器的设计方法。车辆与follower之间的通信是双向的,leader可以将自己的状态传递给所有follower。为了保证在有外部干扰的情况下,队列能够收敛到领队状态,提出了一种分布式不连续控制器。通过引入输入-状态字符串稳定性(ISSS),证明了在领导者有界输入和每个追随者有界外部干扰下,所有追随者的状态是收敛的。通过求解收敛性分析得到的线性矩阵不等式(LMI),得到能使车辆排稳定的反馈控制增益。此外,通过对定理的一些微小修改,该控制器也可以应用于无扰动的排系统。最后,通过数值仿真验证了该控制方案的有效性。
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引用次数: 0
Analysis of Subjective Question Correction Based on OM/QM Intelligent Marking System 基于OM/QM智能阅卷系统的主题纠错分析
Pub Date : 2022-10-28 DOI: 10.1109/ICUS55513.2022.9987020
Zhuming Nie, Ying Wang, Yuhan Shi
The intelligent marking technology can effectively improve and solve the problems existing in online manual marking due to its high efficiency, high accuracy, and high reliability. However, there are still many problems in the technology, process, function, and safety of intelligent marking of subjective questions, which need to be improved urgently. This research deeply excavates and investigates the cases and personnel related to bright marking and puts forward corresponding suggestions based on specific problems while obtaining first-hand information on intelligent marking of subjective questions. Existing issues in brilliancy marking of personal questions: insufficient text recognition accuracy, complex recognition model training process; philosophical algorithm logic are complicated to “override”, and data are not traceable; the intelligent marking model is single, lacking a replication mechanism. Based on three problems, the following solutions are proposed: text recognition model based on detection-recognition correction mechanism; intelligent sample selection mechanism based on text clustering analysis; new smart marking mode based on the fusion of manual marking and machine marking.
智能打标技术具有高效率、高精度、高可靠性等特点,可以有效改善和解决在线人工打标存在的问题。但是,主观题智能阅卷在技术、流程、功能、安全性等方面还存在许多问题,亟待改进。本研究在获得主观题智能阅卷的第一手资料的同时,深入挖掘和调查了与智能阅卷相关的案例和人员,并针对具体问题提出了相应的建议。个人问题亮点标注存在的问题:文本识别准确率不足,识别模型训练过程复杂;哲学算法逻辑复杂,难以“覆盖”,数据不可追溯;智能打标模型单一,缺乏复制机制。针对这三个问题,提出了以下解决方案:基于检测-识别纠错机制的文本识别模型;基于文本聚类分析的智能样本选择机制基于人工打标与机器打标融合的智能打标新模式。
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引用次数: 0
Simulation Research of UAANET Based on BATMAN-ADV Routing Protocol 基于BATMAN-ADV路由协议的UAANET仿真研究
Pub Date : 2022-10-28 DOI: 10.1109/ICUS55513.2022.9987014
Zhaohuang Zheng, Ting Yong, Jiaxin Li, Zhijin Wen
As a new type of mobile ad hoc network, UAANET (UAV Ad Hoc Network) provides a communication foundation for the realization of the ability of UAV swarm such as high coordination and intelligent control. However, the research on routing protocols is severely challenged by the characteristics of UAANET such as high-speed mobility and dynamic topology. The simulation research on the applicability of routing protocols for UAANET scene provides reference and guidance for solving related problems, which is of great significance. In this paper, the BATMNAN-ADV (Better Approach To Mobile Ad-Hoc Networking Advanced) simulation model is established based on the OPNET simulation tool, and simulation research is carried out for the scene of UAANET. The simulation results show that, compared with OLSR and AODV, BATMAN-ADV is more suitable for application in large-scale, high-dynamic, and high-load UAANET scenes.
UAANET (UAV ad hoc network)作为一种新型的移动自组网,为实现无人机群的高度协调和智能控制等能力提供了通信基础。然而,由于UAANET具有高速移动性和动态拓扑等特点,路由协议的研究面临着严峻的挑战。对路由协议在UAANET场景下的适用性进行仿真研究,为解决相关问题提供参考和指导,具有重要意义。本文基于OPNET仿真工具,建立了BATMNAN-ADV (Better Approach To Mobile Ad-Hoc Networking Advanced)仿真模型,并对UAANET场景进行了仿真研究。仿真结果表明,与OLSR和AODV相比,BATMAN-ADV更适合应用于大规模、高动态、高负载的UAANET场景。
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引用次数: 0
期刊
2022 IEEE International Conference on Unmanned Systems (ICUS)
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