通信链路故障切换拓扑下卫星编队飞行的数据驱动自触发协同控制

IF 5.7 2区计算机科学 Q1 ENGINEERING, AEROSPACE

IEEE Transactions on Aerospace and Electronic Systems Pub Date : 2025-04-01 DOI:10.1109/TAES.2025.3556800

Ziming Ren;Hao Liu;Jianxiang Xi;Yuanshi Zheng

{"title":"通信链路故障切换拓扑下卫星编队飞行的数据驱动自触发协同控制","authors":"Ziming Ren;Hao Liu;Jianxiang Xi;Yuanshi Zheng","doi":"10.1109/TAES.2025.3556800","DOIUrl":null,"url":null,"abstract":"The data-driven self-triggered (ST) robust optimal cooperative control problem in satellite formation flying (SFF) under switching topologies subject to communication link faults is addressed. The satellites are subject to nonlinearities, limited communication resources, unknown system parameters, and external disturbances. Distributed adaptive observers are designed with a ST communication algorithm under the joint influence of direct switching topologies and unknown topology uncertainties. The convergence of the observers is analyzed and Zeno-free behavior can be guaranteed. Robust optimal cooperative control laws are learned using an off-policy reinforcement learning algorithm without satellite system dynamics and global topology information. Simulation results for an example of SFF validate the effectiveness of the designed cooperative controller","PeriodicalId":13157,"journal":{"name":"IEEE Transactions on Aerospace and Electronic Systems","volume":"61 4","pages":"9619-9629"},"PeriodicalIF":5.7000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Data-Driven Self-Triggered Cooperative Control in Satellite Formation Flying Under Switching Topologies Subject to Communication Link Faults\",\"authors\":\"Ziming Ren;Hao Liu;Jianxiang Xi;Yuanshi Zheng\",\"doi\":\"10.1109/TAES.2025.3556800\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The data-driven self-triggered (ST) robust optimal cooperative control problem in satellite formation flying (SFF) under switching topologies subject to communication link faults is addressed. The satellites are subject to nonlinearities, limited communication resources, unknown system parameters, and external disturbances. Distributed adaptive observers are designed with a ST communication algorithm under the joint influence of direct switching topologies and unknown topology uncertainties. The convergence of the observers is analyzed and Zeno-free behavior can be guaranteed. Robust optimal cooperative control laws are learned using an off-policy reinforcement learning algorithm without satellite system dynamics and global topology information. Simulation results for an example of SFF validate the effectiveness of the designed cooperative controller\",\"PeriodicalId\":13157,\"journal\":{\"name\":\"IEEE Transactions on Aerospace and Electronic Systems\",\"volume\":\"61 4\",\"pages\":\"9619-9629\"},\"PeriodicalIF\":5.7000,\"publicationDate\":\"2025-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Aerospace and Electronic Systems\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10946843/\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, AEROSPACE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Aerospace and Electronic Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10946843/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, AEROSPACE","Score":null,"Total":0}

引用次数: 0

摘要

研究了交换拓扑下通信链路故障下卫星编队飞行的数据驱动自触发鲁棒最优协同控制问题。卫星具有非线性、通信资源有限、系统参数未知和外部干扰等特点。在直接交换拓扑和未知拓扑不确定性的共同影响下，采用ST通信算法设计了分布式自适应观测器。分析了观测器的收敛性，保证了无芝诺行为。采用一种不考虑卫星系统动力学和全局拓扑信息的非策略强化学习算法学习鲁棒最优协同控制律。仿真结果验证了所设计的协同控制器的有效性

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Data-Driven Self-Triggered Cooperative Control in Satellite Formation Flying Under Switching Topologies Subject to Communication Link Faults

The data-driven self-triggered (ST) robust optimal cooperative control problem in satellite formation flying (SFF) under switching topologies subject to communication link faults is addressed. The satellites are subject to nonlinearities, limited communication resources, unknown system parameters, and external disturbances. Distributed adaptive observers are designed with a ST communication algorithm under the joint influence of direct switching topologies and unknown topology uncertainties. The convergence of the observers is analyzed and Zeno-free behavior can be guaranteed. Robust optimal cooperative control laws are learned using an off-policy reinforcement learning algorithm without satellite system dynamics and global topology information. Simulation results for an example of SFF validate the effectiveness of the designed cooperative controller

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

IEEE Transactions on Aerospace and Electronic Systems 工程技术-电信学

CiteScore

7.80

自引率

13.60%

发文量

433

审稿时长

8.7 months

期刊介绍： IEEE Transactions on Aerospace and Electronic Systems focuses on the organization, design, development, integration, and operation of complex systems for space, air, ocean, or ground environment. These systems include, but are not limited to, navigation, avionics, spacecraft, aerospace power, radar, sonar, telemetry, defense, transportation, automated testing, and command and control.