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Microvibration isolation in sensitive payloads: methodology and design

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Abstract

Microvibration is a severe issue that is present in many components on spacecraft, such as cryocoolers, thrusters, solar arrays, and momentum/reaction wheel assemblies (M/RWAs), which can severely downgrade the working accuracy of sensitive payloads. To address this dilemma, recently, the development of passive, active or hybrid active–passive and semi-active isolation techniques for microvibration has attracted considerable interest, especially because of the increasing demand in boosting isolation performance for ultraprecision instruments subjected to very small amplitudes. As a useful complement to several existing reviews in the recent literature on microvibration isolation technology, in this paper, several isolation methods considering passive, active, hybrid active–passive and semi-active systems are investigated, exploring both theoretical and experimental results of these techniques. In general, passive approaches are first employed in orbit spacecraft due to their high stability and lack of exogenous energy consumption. Active techniques, however, are usually developed to isolate low-frequency vibrations, which are common in ultraprecision equipment and spacecraft. Hybrid active–passive methods embrace the advantages of both passive and active systems and have also been successfully applied in aerospace engineering for many years. In semi-active techniques, the trade-off between isolation performance and external energy input can adapt well to variations in the spacecraft environment. Additionally, important outcomes of the published work are reviewed. Notably, this paper focuses on a review of state-of-the-art vibration isolation theory and/or techniques that have been developed, mainly over the last decade, and can specifically or potentially be used for microvibration isolation.

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Acknowledgements

The study was supported by the National Key R&D Program of China (Grant No. 2022YFC2204203, Grant No. 2020YFB2007302), the National Natural Science Foundation of China (Grant No.52075193). Simultaneously, the authors also thank the handling editors and anonymous reviewers for your time and effort in reviewing this paper.

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  1. State Key Laboratory of Intelligent Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China

    Zhongxiang Yuan, Zhengguang Zhang, Lizhan Zeng & Xiaoqing Li

  2. Institute of Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, China

    Zhongxiang Yuan

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Yuan, Z., Zhang, Z., Zeng, L. et al. Microvibration isolation in sensitive payloads: methodology and design. Nonlinear Dyn 111, 19563–19611 (2023). https://doi.org/10.1007/s11071-023-08943-4

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