{"title":"基于人工势场和共识策略的群无人机分布式编队控制方法","authors":"Xiaowei Fu, Haixiang Wang, Jing Pan, Xiao-guang Gao","doi":"10.1109/ANZCC47194.2019.8945774","DOIUrl":null,"url":null,"abstract":"This paper studies the formation control of swarm UAVs and designs a new distributed control method. Each UAV only needs to consider the information of its neighboring UAVs and the virtual leader. By constructing a new artificial potential function, virtual attractive and repulsive forces are generated between UAVs, so that the UAVs can maintain the desired distance during flight. On this basis, the relative positional relationship between each UAV and the virtual leader is designed using the consistency method, so that swarm UAVs can generate and maintain the basic formation. The simulation results of formation generation and formation maintenance illustrates the effectiveness and rationality of the method.","PeriodicalId":322243,"journal":{"name":"2019 Australian & New Zealand Control Conference (ANZCC)","volume":"211 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A Distributed Formation Control Method of Swarm UAVs Based on Artificial Potential Field and Consensus Strategy\",\"authors\":\"Xiaowei Fu, Haixiang Wang, Jing Pan, Xiao-guang Gao\",\"doi\":\"10.1109/ANZCC47194.2019.8945774\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper studies the formation control of swarm UAVs and designs a new distributed control method. Each UAV only needs to consider the information of its neighboring UAVs and the virtual leader. By constructing a new artificial potential function, virtual attractive and repulsive forces are generated between UAVs, so that the UAVs can maintain the desired distance during flight. On this basis, the relative positional relationship between each UAV and the virtual leader is designed using the consistency method, so that swarm UAVs can generate and maintain the basic formation. The simulation results of formation generation and formation maintenance illustrates the effectiveness and rationality of the method.\",\"PeriodicalId\":322243,\"journal\":{\"name\":\"2019 Australian & New Zealand Control Conference (ANZCC)\",\"volume\":\"211 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Australian & New Zealand Control Conference (ANZCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANZCC47194.2019.8945774\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Australian & New Zealand Control Conference (ANZCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANZCC47194.2019.8945774","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Distributed Formation Control Method of Swarm UAVs Based on Artificial Potential Field and Consensus Strategy
This paper studies the formation control of swarm UAVs and designs a new distributed control method. Each UAV only needs to consider the information of its neighboring UAVs and the virtual leader. By constructing a new artificial potential function, virtual attractive and repulsive forces are generated between UAVs, so that the UAVs can maintain the desired distance during flight. On this basis, the relative positional relationship between each UAV and the virtual leader is designed using the consistency method, so that swarm UAVs can generate and maintain the basic formation. The simulation results of formation generation and formation maintenance illustrates the effectiveness and rationality of the method.