集群形成的饱和分布式中心点跟踪控制及其在 VTOL 无人机中的应用

IF 6.7 2区 计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY
Jingyuan Wang;Wei Wang;Yao Zou;Xiuyu He
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引用次数: 0

摘要

为了提高多代理组建的灵活性和适应性,本文研究了集群组建的中心点跟踪问题。具体来说,就是将一队代理分成多个集群,并对集群代理进行协调,以便 i) 每个集群形成一个规定配置;ii) 所有集群的中心点形成另一个规定配置;iii) 整个团队的中心点跟踪参考轨迹。代理具有二阶动力学特征。此外,多代理系统还考虑了不同的输入饱和度。本文提出了一种借助三个分布式观测器的饱和分布式控制算法。前两个分布式观测器具有适当的初始条件,能使每个代理准确地获得其相应群组和整个团队的中心点。第三个分布式观测器帮助每个代理获得准确的参考加速度信息。结果表明,所提出的饱和分布式控制算法保证了集群形成的中心点跟踪目标的实现。此外,我们还将所提出的饱和分布式控制算法应用于集群式 VTOL AAV 编队。仿真结果最终验证了所提出的饱和分布式控制算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Saturated Distributed Centroid Tracking Control of Cluster Formation and Its Application to VTOL AAVs
To improve flexibility and adaptability of the multi-agent formation, this paper studies the centroid tracking problem of cluster formation. In particular, a team of agents are separated into multiple clusters, and the clustered agents are coordinated such that i) each cluster forms a prescribed configuration, ii) all the cluster centroids form another prescribed configuration, and iii) the centroid of the whole team tracks a reference trajectory. The agents are characterized by second-order dynamics. In addition, heterogenous input saturation levels are considered into the multi-agent system. A saturated distributed control algorithm resorting to three distributed observers is proposed. The first two distributed observers with proper initial conditions enable each agent to accurately obtain the centroid of its corresponding cluster and that of the whole team. And the third distributed observer helps each agent get the accurate reference acceleration information. It is demonstrated that the proposed saturated distributed control algorithm guarantees the accomplishment of the centroid tracking objective of cluster formation. Besides, we apply the proposed saturated distributed control algorithm to the clustered VTOL AAV formation. Simulation results finally verify the effectiveness of the proposed saturated distributed control algorithm.
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来源期刊
IEEE Transactions on Network Science and Engineering
IEEE Transactions on Network Science and Engineering Engineering-Control and Systems Engineering
CiteScore
12.60
自引率
9.10%
发文量
393
期刊介绍: The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.
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