CNN-LSTM-based compound control for micro-vibration in inter-satellite optical communication systems

Micro-vibrations induced by external perturbations and structural resonances of the satellite platform cause pointing errors, significantly compromising the stability and reliability of inter-satellite wireless optical communication (IsOWC) systems. To effectively preserve the performance of IsOWC systems, we propose a compound control scheme that integrates predictive feedforward compensation based on a convolutional long short-term memory (CNN-LSTM) network with a proportional-integral-derivative (PID) control. Specifically, the proposed scheme employs a CNN-LSTM network to predict micro-vibration signals for feedforward compensation, and a PID control is incorporated to further enhance the micro-vibration suppression capability of the IsOWC system. Compared to traditional PID-based suppression, the proposed scheme reduces the vibration peak amplitude by up to 83%, significantly enhancing the stability and communication performance of IsOWC systems.

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Publication Details

Journal
Optics Letters
Published
2026-03-02
DOI
https://doi.org/10.1364/ol.585530
Primary Topic
Advanced Control and Stabilization in Aerospace Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

CNN-LSTM-based compound control for micro-vibration in inter-satellite optical communication systems

Hong Yin Lam, Guanjun Xu, Yulong Zhu, Lei Guo et al.
Optics Letters
Advanced Control and Stabilization in Aerospace Systems
article

CNN-LSTM-based compound control for micro-vibration in inter-satellite optical communication systems

Hong Yin Lam, Guanjun Xu, Yulong Zhu, Lei Guo, Zhaohui Song
article en

Abstract

Micro-vibrations induced by external perturbations and structural resonances of the satellite platform cause pointing errors, significantly compromising the stability and reliability of inter-satellite wireless optical communication (IsOWC) systems. To effectively preserve the performance of IsOWC systems, we propose a compound control scheme that integrates predictive feedforward compensation based on a convolutional long short-term memory (CNN-LSTM) network with a proportional-integral-derivative (PID) control. Specifically, the proposed scheme employs a CNN-LSTM network to predict micro-vibration signals for feedforward compensation, and a PID control is incorporated to further enhance the micro-vibration suppression capability of the IsOWC system. Compared to traditional PID-based suppression, the proposed scheme reduces the vibration peak amplitude by up to 83%, significantly enhancing the stability and communication performance of IsOWC systems.

Optics LettersVol. 51(7)
Chongqing University of Posts and Telecommunications (CN)
Affordable and clean energy
Openalex Percentile: Top 40%
Advanced Control and Stabilization in Aerospace Systems
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CNN-LSTM-based compound control for micro-vibration in inter-satellite optical communication systems — Hong Yin Lam, Guanjun Xu, et al. · Optics Letters (2026) | TGRS Research Map | TGRS