Iterative Learning Disturbance Observer Based Attitude Stabilization of Flexible Spacecraft Subject to Complex Disturbances and Measurement Noises
文献类型:期刊论文
作者 | Tongfu He; Zhong Wu |
刊名 | IEEE/CAA Journal of Automatica Sinica
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出版日期 | 2021 |
卷号 | 8期号:9页码:1576-1587 |
关键词 | Disturbance observer iterative learning measurement noise spacecraft attitude control |
ISSN号 | 2329-9266 |
DOI | 10.1109/JAS.2021.1003958 |
英文摘要 | To realize high-precision attitude stabilization of a flexible spacecraft in the presence of complex disturbances and measurement noises, an iterative learning disturbance observer (ILDO) is presented in this paper. Firstly, a dynamic model of disturbance is built by augmenting the integral of the lumped disturbance as a state. Based on it, ILDO is designed by introducing iterative learning structures. Then, comparative analyses of ILDO and traditional disturbance observers are carried out in frequency domain. It demonstrates that ILDO combines the advantages of high accuracy in disturbance estimation and favorable robustness to measurement noise. After that, an ILDO based composite controller is designed to stabilize the spacecraft attitude. Finally, the effectiveness of the proposed control scheme is verified by simulations. |
源URL | [http://ir.ia.ac.cn/handle/173211/45373] ![]() |
专题 | 自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica |
推荐引用方式 GB/T 7714 | Tongfu He,Zhong Wu. Iterative Learning Disturbance Observer Based Attitude Stabilization of Flexible Spacecraft Subject to Complex Disturbances and Measurement Noises[J]. IEEE/CAA Journal of Automatica Sinica,2021,8(9):1576-1587. |
APA | Tongfu He,&Zhong Wu.(2021).Iterative Learning Disturbance Observer Based Attitude Stabilization of Flexible Spacecraft Subject to Complex Disturbances and Measurement Noises.IEEE/CAA Journal of Automatica Sinica,8(9),1576-1587. |
MLA | Tongfu He,et al."Iterative Learning Disturbance Observer Based Attitude Stabilization of Flexible Spacecraft Subject to Complex Disturbances and Measurement Noises".IEEE/CAA Journal of Automatica Sinica 8.9(2021):1576-1587. |
入库方式: OAI收割
来源:自动化研究所
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