{"title":"Similarity-Based Rigidity Formation Maneuver Control of Underactuated Surface Vehicles Over Directed Graphs","authors":"Yunchang Huang;Shi-Lu Dai","doi":"10.1109/TCNS.2024.3487621","DOIUrl":null,"url":null,"abstract":"This article develops a formation maneuver control strategy for a group of underactuated unmanned surface vehicles (USVs) under similarity rigidity framework over directed graphs. The control objective is to achieve similar formation transformations (translation, rotation, and scaling) while maintaining the desired formation shape. The desired formation shape is determined by a set of similarity constraints on the signed angle and the distance ratio of a pair of edges joining a common vertex. Instead of the error variables with respect to the angle or distance ratio usually used in traditional similarity-rigidity control methods, the relative position errors are obtained by the constant rigidity matrix. Once the position of each USV overlaps with the configuration of the target formation, the desired formation maneuver can be achieved. The proposed control strategy can be implemented in a local coordinate system and directed graphs without intervehicle communication. Simulation results demonstrate the effectiveness of the proposed control strategy.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 1","pages":"461-473"},"PeriodicalIF":4.0000,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Control of Network Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10737461/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This article develops a formation maneuver control strategy for a group of underactuated unmanned surface vehicles (USVs) under similarity rigidity framework over directed graphs. The control objective is to achieve similar formation transformations (translation, rotation, and scaling) while maintaining the desired formation shape. The desired formation shape is determined by a set of similarity constraints on the signed angle and the distance ratio of a pair of edges joining a common vertex. Instead of the error variables with respect to the angle or distance ratio usually used in traditional similarity-rigidity control methods, the relative position errors are obtained by the constant rigidity matrix. Once the position of each USV overlaps with the configuration of the target formation, the desired formation maneuver can be achieved. The proposed control strategy can be implemented in a local coordinate system and directed graphs without intervehicle communication. Simulation results demonstrate the effectiveness of the proposed control strategy.
期刊介绍:
The IEEE Transactions on Control of Network Systems is committed to the timely publication of high-impact papers at the intersection of control systems and network science. In particular, the journal addresses research on the analysis, design and implementation of networked control systems, as well as control over networks. Relevant work includes the full spectrum from basic research on control systems to the design of engineering solutions for automatic control of, and over, networks. The topics covered by this journal include: Coordinated control and estimation over networks, Control and computation over sensor networks, Control under communication constraints, Control and performance analysis issues that arise in the dynamics of networks used in application areas such as communications, computers, transportation, manufacturing, Web ranking and aggregation, social networks, biology, power systems, economics, Synchronization of activities across a controlled network, Stability analysis of controlled networks, Analysis of networks as hybrid dynamical systems.