Mingwei Liu, Lu Liu, Lichuan Zhang, Guang Pan, Peidong Dang, Yi Chen
{"title":"Multi-UUV Detection Array Optimization Based on Ant Colony Algorithm","authors":"Mingwei Liu, Lu Liu, Lichuan Zhang, Guang Pan, Peidong Dang, Yi Chen","doi":"10.1109/ICCR55715.2022.10053915","DOIUrl":null,"url":null,"abstract":"With the increasing stealth performance of underwater detection targets and more complex detection tasks, a single underwater unmanned underwater vehicle (UUV) has been already unable to meet the current mission requirements. Therefore, in recent years, multi-UUV cooperative detection has been widely used in certain task. To address the problem that the change of multiple UUV formations in the detection task will have a large impact on the detection effectiveness, a multi-UUV formation optimization model is proposed. Then, the formation optimization problem of multi-UUV cooperative detection is solved through the ant colony algorithm. The results show that the algorithm in this paper is more robust than the traditional algorithm. and the ability to globally search for optimal solutions.","PeriodicalId":441511,"journal":{"name":"2022 4th International Conference on Control and Robotics (ICCR)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th International Conference on Control and Robotics (ICCR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCR55715.2022.10053915","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the increasing stealth performance of underwater detection targets and more complex detection tasks, a single underwater unmanned underwater vehicle (UUV) has been already unable to meet the current mission requirements. Therefore, in recent years, multi-UUV cooperative detection has been widely used in certain task. To address the problem that the change of multiple UUV formations in the detection task will have a large impact on the detection effectiveness, a multi-UUV formation optimization model is proposed. Then, the formation optimization problem of multi-UUV cooperative detection is solved through the ant colony algorithm. The results show that the algorithm in this paper is more robust than the traditional algorithm. and the ability to globally search for optimal solutions.