Operating Mode Identification of Satellite Solar Arrays Based on the Fusion of Temporal and Spatial Features
编号:2 访问权限:仅限参会人 更新:2025-11-10 10:12:56 浏览:30次 口头报告

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摘要
The solar array (SA) is a vital component of satellite electrical power systems, providing a continuous energy supply for sustained on-orbit operations. Accurate identification of its operating modes, supported by multi-source sensing data, is essential for efficient satellite management. This study introduces a dual-branch spatial-temporal coding framework to address the limited recognition accuracy and weak dynamic perception of conventional data-driven methods. The key contribution lies in extracting complementary spatial and temporal features from sensing data and integrating them through a soft gating mechanism that adaptively fuses cross-modal information. To enhance reliability, temperature-scaled posterior probabilities are applied to calibrate model confidence, particularly during rapid transitions between dynamic operating modes. Experiments with on-orbit telemetry data show that the method achieves 99.49% accuracy, while the soft gating fusion reduces the expected calibration error by more than 21.4%. By combining multidimensional feature modeling, feature fusion, and confidence calibration, this study provides a robust and reliable solution for satellite SA operating mode identification.
关键词
satellite solar arrays,operating mode identification,sensing data,temporal and spatial features,feature fusion
报告人
Meng Wang
Mr. Harbin Institute of Technology

稿件作者
Meng Wang Harbin Institute of Technology
Yingting Fan Shanghai Institute of Satellite Engineering
Guangquan Zhao Harbin Institute of Technology
Yang Wu Shanghai Institute of Satellite Engineering
Xiyuan Peng Harbin Institute of Technology
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重要日期
  • 会议日期

    11月21日

    2025

    11月23日

    2025

  • 10月20日 2025

    初稿截稿日期

  • 11月23日 2025

    注册截止日期

主办单位
IEEE Instrumentation and Measurement Society
South China University of Technology
承办单位
South China University of Technology
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