| 查看: 431 | 回复: 0 | |||
[交流]
《控制与决策》：无人机主题双语文章推荐
|
|
随着科技不断进步，无人机技术已经广泛应用于各个领域，如农业、建筑、环境监测、安全监控等。本期精选发表于《控制与决策》的5篇无人机研究相关双语文章，希望能为相关领域学者提供借鉴与参考，欢迎阅读！ 精选文章Selected Articles 01 面向元启发式算法的多无人机路径规划现状与展望 Research and development trend of multi-UAV path planning based on metaheuristic algorithm 【摘要】多无人机路径规划是一个复杂的多约束组合优化问题，通过传统算法很难求得优良结果，元启发式算法由于其快速高效而成为解决该类优化问题的有效手段。首先，针对多无人机路径规划的关键要素提出一种新的分类方法；其次，从算法改进方式入手，对各项研究中所采用的元启发式算法进行分类梳理，阐述它们的应用效果和优缺点，并根据所提出的分类方法和研究特点归纳了当前的研究成果；最后，结合目前多无人机路径规划研究存在的问题对未来发展趋势进行展望。 【Abstract】Multi-UAV path planning is a complex multi-constraint combinatorial optimization problem, which is difficult to obtain good results through traditional algorithms. Recently, the metaheuristic algorithm has become an effective means to solve this kind of optimization problems because of its high efficiency. Firstly, a new classification method is proposed for the key elements of multi-UAV path planning. Then, we classify and discuss the improvement methods of metaheuristic algorithms used in the research results, elaborate the application performance, advantages, and disadvantages of these algorithms, and summarize the current research results according to the proposed classification methods and research characteristics. Finally, the future development trend is prospected based on the existing problems in the current multi-UAV path planning research. 02 旋翼无人机环境覆盖与探索规划方法综述 A survey on coverage and exploration path planning with multi-rotor micro aerial vehicles 【摘要】随着微型空中机器人技术的迅速发展，利用小型旋翼无人机对目标环境进行自主覆盖与探索成为当前机器人领域的研究热点。鉴于此，首先对机器人环境覆盖规划与探索规划的研究内容进行简要介绍；然后按照覆盖规划、探索规划以及同时覆盖与探索规划3个方面展开综述，详细分析不同方法的基本工作原理、优势以及局限性；最后根据研究现状总结目前研究中存在的问题与挑战，并对未来研究与发展趋势进行分析。 【Abstract】With the rapid development of micro aerial vehicle (MAV) technology, autonomous coverage and exploration of interest environments with multi-rotor MAVs have become a research hotspot. Firstly, this article briefly introduces the research contents of coverage and exploration planning of interest environments by using robotics. Then, three aspects are surveyed, i.e., coverage planning, exploration planning, as well as simultaneous coverage and exploration planning. In addition, the fundamental working principle, advantages and limitations of different methods are analyzed in detail. Finally, the problems and challenges are concluded according to the state of the art, and the future research trends and development directions are analyzed. 03 大规模固定翼无人机集群编队控制方法 Formation control of large-scale fixed-wing unmanned aerial vehicle swarms 【摘要】针对大规模固定翼无人机集群的编队控制问题，提出一种分层分组控制方案。首先，设计一种分布式的无人机集群分层分组控制架构，将集群内所有无人机分成若干独立且不相交的群组，并在群组内分别形成“长机层”和“僚机层”；其次，对各群组内的长机设计协同路径跟随控制律，使长机收敛到各自期望路径上的虚拟目标点，并通过对各虚拟目标点的协调控制实现长机的协同，进而实现各群组间的协同；然后，对各组的僚机设计控制律以跟随其所在群组的长机，使其与长机保持期望的相对位置且朝向一致。设计的大规模集群编队控制律考虑了固定翼无人机的控制约束和环境中风的影响，并证明了闭环系统的稳定性。100架固定翼无人机集群的全流程数值仿真，验证了所提出控制方法的有效性。 【Abstract】This paper considers the formation control of large-scale fixed-wing UAV swarms and proposes a group-based hierarchical method. Firstly, a distributed group-based control architecture is proposed for the UAV swarms, which divides all the UAVs into several distinct and non-overlapping groups, and the UAVs in each group are organized into two layers, the leader layer and the follower layer. Secondly, for leader UAVs, the coordinated path following control law is proposed, which steers the leader UAVs towards their virtual targets on their desired paths, and achieves the coordination of leader UAVs by coordinating the movement of the virtual targets, thus the inter-group coordination is achieved. Thirdly, a leader-following formation control law is proposed for the follower UAVs to follow the leader UAVs in their respective groups. The proposed formation control law for large-scale swarms considers the control constraints of fixed-wing UAVs and wind influence, and the closed-loop stability is theoretically guaranteed. Numerical simulations of 100 fixed-wing UAVs in a whole mission process are conducted, which validate the effectiveness of the proposed method for large-scale swarms. 04 基于分布式模型预测控制的无人机编队控制 Formation control of multi-UAV based on distributed model predictive control algorithm 【摘要】针对多四旋翼无人机编队在巡航飞行过程中队形形成和保持问题，采用分布式模型预测控制方法将该问题转化为在线滚动优化问题。建立线性时不变的编队运动模型，进而在考虑状态和输入约束，不考虑时延、外界干扰、噪声的情况下，利用领航跟随策略设计一种分布式模型预测控制器，通过引入自身和邻居的假设状态轨迹设计代价函数。其中邻居信息的交互是在有向、时不变通信拓扑结构下进行的。基于该控制器，无人机能够在跟踪目标轨迹的同时，快速形成预先设定的队形并保持队形飞行。通过引入终端等式约束保证系统稳定，进而将目标函数作为Lyapunov函数，给出编队系统渐近稳定的充分条件。最后，利用6架无人机仿真验证控制算法的有效性和优越性。 【Abstract】This paper presents a distributed model predictive control algorithm for the formation and maintenance of multi-quadrotor during the cruise fight. That is dealing with the formation control using the rolling optimization method. Firstly, a linear time-invariant formation motion model is established. Then using the leader-follower strategy, a distributed model predictive controller is designed by introducing the assumed state trajectory of itself and neighbors to the cost function, which is in the case of considering the state and input constraints, without considering the communication delay, external interference, and noise. Unmanned aerial vehicles (UAVs) interact with local information based on a directional, time-invariant communication topology. Based on the controller, UAVs can quickly form a pre-set formation and maintain it while tracking the target trajectory. To ensure the stability of the system, the terminal equality constraint is introduced. Then taking the cost function as the Lyapunov function, the sufficient conditions for the asymptotic stability of the formation system are given. Finally, simulations with six UAVs demonstrate the effectiveness and superiority of the proposed algorithm. 05 车辆与无人机组合配送研究综述 Review on vehicle-UAV combined delivery problem 【摘要】随着无人机技术的成熟，无人机配送已成为近几年工业界和学术界共同关注的热点。由于无人机仍存在续航能力不足、空中管制等限制，车辆与无人机组合配送具有较大的发展空间。对此，研究车辆与无人机组合配送问题的5种运行模式，包括车辆与无人机协同配送、车辆与无人机并行配送、车辆支持无人机配送、无人机支持车辆配送，以及混合模式配送。根据不同运行模式的特性和应用场景，从运载工具、道路网络、节点构成、弧段约束和优化目标等方面，分析车辆与无人机组合配送问题的经典要素；并从速度比、无人机单程配送量和停靠策略等方面研究其拓展要素。介绍并对比了求解车辆与无人机组合配送问题的方法，梳理了常用的测试数据集。最后指出车辆与无人机组合配送问题未来可能的发展趋势。 【Abstract】With drone technology's maturity, drone delivery has recently become a hot spot in both industry and academia. As UAVs still have some drawbacks, such as limited flight range and airspace control, vehicle-UAV combined delivery has great potential development. This work studies five operation modes of the vehicle-UAV combined delivery problem, including vehicle-UAV collaborative delivery, vehicle-UAV parallel delivery, vehicle-supported delivery of UAVs, UAVsupported delivery of vehicles, and hybrid-mode delivery. According to different operation modes' characteristics and scenarios, this work analyzes classical elements in terms of delivery vehicles, road networks, node composition, arc segment constraints, and optimization objectives. We also study the expansion elements, including speed ratio, customer number for one-way drone delivery, and stopping strategy. Methods for solving the vehicle-UAV combined delivery problem are introduced and compared, and common instances for tests are listed. Finally, the work proposes the possible future trends of the vehicle-UAV combined delivery problem. 期刊推荐Recommended Journal 《控制与决策》创刊于1986年，由教育部主管、东北大学主办，是具有广泛学术影响力的全国高水平学术期刊。三十多年来，《控制与决策》始终秉承正确的办刊宗旨，坚持致力于汇聚和传播优秀学术成果，启发科技创新，推动我国学科发展。本刊瞄准国家重大需求与国际前沿方向刊载了一大批控制与决策领域理论和应用研究方面具有原创性的、高水平的研究成果，受到广大读者的一致好评。近期，《控制与决策》9篇结构化论文成功入选中国科协“2023年度科技期刊双语传播工程”，入选论文如下，欢迎阅读！ 1、基于在线评论的情感分析方法及应用 作者：李杨 徐泽水 王新鑫 DOI：10.13195/j.kzyjc.2022.1788 2、时序网络构建的理论和方法 作者：李阿明 侯谷庾 王龙 DOI：10.13195/j.kzyjc.2022.1797 3、基于视频的人体异常行为识别与检测方法综述 作者：张晓平 纪佳慧 王力 何忠贺 刘世达 DOI：10.13195/j.kzyjc.2020.1428 4、6G通信感知一体化理论与技术 作者：彭木根 刘喜庆 刘子乐 孙泽忠 DOI：10.13195/j.kzyjc.2022.1332 5、基于PID参数整定的线性自抗扰控制参数整定 作者：韩文杰 谭文 DOI：10.13195/j.kzyjc.2019.1408 6、基于车路云一体化的混合交通系统优化控制综述 作者：左志强 刘正璇 王一晶 DOI：10.13195/j.kzyjc.2022.1757 7、进化超多目标优化研究进展及展望 作者：肖人彬 李贵 陈峙臻 DOI：10.13195/j.kzyjc.2022.2167 8、考虑企业社会责任和公平偏好的绿色供应链决策 作者：公彦德 陈梦泽 DOI：10.13195/j.kzyjc.2019.1102 9、多目标动态优化中Pareto随机合作博弈研究综述 作者：张维海 彭称称 蒋秀珊 DOI：10.13195/j.kzyjc.2022.2097 联系我们Contact Us 中国知网“中文精品学术期刊外文版数字出版工程”（简称JTP）自2015年启动，已与400余种学术期刊合作出版了4万余篇双语对照论文，积累了丰富的学术翻译/英语加工/学术推广经验。形成了集双语出版、主题电子书出版、双语讲座视频制作、期刊英文内容编校加工、资讯编译、海外推广为一体的全方位服务体系，全面助力期刊提升国际影响力。感兴趣的朋友请联系 |
回复此楼» 猜你喜欢
科研好难啊，想退学去打工。
已经有17人回复
-
失之东隅 收之桑榆
已经有16人回复
-
中国科学信息研究所国际学术期刊预警名单
已经有3人回复
-
关于Journal of Crystal Growth的OA和版面费
已经有8人回复
-
25年博士申请
已经有14人回复
-
江苏理工学院要慎选
已经有5人回复
-
博士后和科研助理好难找啊
已经有5人回复
-
环境类微生物英文论文投稿
已经有5人回复
-
以2氟甲苯为原料做2氟4溴甲苯
已经有7人回复
-
论文录用了让等通知交版面费
已经有3人回复
50