Dynamic event-triggered attitude synchronization of multi-spacecraft formation via a learning Chebyshev neural network control approach | |
Li, Genghuan1,2; Jia, Qingxian1,2; Wu, Yunhua1,2; Liao, He1,2; Zheng, Zhong3 | |
2024-12-11 | |
发表期刊 | AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY |
ISSN | 1748-8842 |
摘要 | PurposeThis paper aims to investigate the attitude synchronization issue of multi-spacecraft formation flying systems under the limited communication resources.Design/methodology/approachThe authors propose a distributed learning Chebyshev neural network controller (LCNNC) combining a dynamic event-triggered (DET) mechanism and a learning CNN model to achieve accurate multi-spacecraft attitude synchronization under communication constraints.FindingsThe proposed method can significantly reduce the internal communication frequency and improve the attitude synchronization accuracy.Practical implicationsThis method requires the low communication resources, has a high control accuracy and is thus suitable for engineering applications.Originality/valueA novel DET mechanism-based LCNNC is proposed to achieve the accurate multi-spacecraft attitude synchronization under communication constraints. |
关键词 | Spacecraft formation Attitude synchronization Chebyshev neural network Dynamic event-triggered Iterative learning algorithm |
DOI | 10.1108/AEAT-06-2024-0188 |
收录类别 | SCIE |
语种 | 英语 |
WOS研究方向 | Engineering |
WOS类目 | Engineering, Aerospace |
WOS记录号 | WOS:001372465000001 |
出版者 | EMERALD GROUP PUBLISHING LTD |
原始文献类型 | Article ; Early Access |
EISSN | 1758-4213 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.library.ouchn.edu.cn/handle/39V7QQFX/173659 |
专题 | 国家开放大学江苏分部 |
通讯作者 | Jia, Qingxian |
作者单位 | 1.Nanjing Univ Aeronaut & Astronaut, Coll Astronaut, Nanjing, Peoples R China; 2.Nanjing Tech Univ, Nanjing, Peoples R China; 3.Jiangsu Open Univ, Sch informat technol, Nanjing, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Genghuan,Jia, Qingxian,Wu, Yunhua,et al. Dynamic event-triggered attitude synchronization of multi-spacecraft formation via a learning Chebyshev neural network control approach[J]. AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY,2024. |
APA | Li, Genghuan,Jia, Qingxian,Wu, Yunhua,Liao, He,&Zheng, Zhong.(2024).Dynamic event-triggered attitude synchronization of multi-spacecraft formation via a learning Chebyshev neural network control approach.AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY. |
MLA | Li, Genghuan,et al."Dynamic event-triggered attitude synchronization of multi-spacecraft formation via a learning Chebyshev neural network control approach".AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY (2024). |
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