中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 长春光学精密机械与物理研究所
  3. 中国科学院长春光学精密机械与物理研究所
Two-Dimensional Space Turntable Pitch Axis Trajectory Prediction Method Based on Sun Vector and CNN-LSTM Model

文献类型：期刊论文

作者S. Dai, K. F. Song, Y. L. Wang and P. J. Zhang
刊名Applied Sciences-Basel
出版日期2023
卷号13期号:8页码:12
DOI10.3390/app13084939
英文摘要A two-dimensional space turntable system has been used to ensure that the Solar X-ray and Extreme Ultraviolet Imager (X-EUVI) can track the Sun stably, and the prediction of the two-dimensional turntable trajectory is an important part of payload health management. Different from the dynamic model using traditional trajectory prediction, we propose a new method for predicting the pitch axis trajectory of the turntable based on the sun vector and a deep learning CNN-LSTM model. First, the ideal solar position of the pitch axis was calculated using the sun vector. Then, the ideal solar position was combined with the running turntable pitch axis motor speed, current, and solar position error signal as the CNN-LSTM model input data. The model parameters were trained and adjusted through test data simulation using Fengyun-3E satellite orbit data. Finally, the next position of the pitch axis was predicted. The test results showed that in the sun vector and CNN-LSTM model, the RMSE value was 0.623 and the MSE value was 0.388. It was better than the LSTM model or CNN model alone and could accurately predict the pitch axis position.
URL标识查看原文
语种英语
源URL[http://ir.ciomp.ac.cn/handle/181722/67423]  
专题中国科学院长春光学精密机械与物理研究所
推荐引用方式
GB/T 7714		 S. Dai, K. F. Song, Y. L. Wang and P. J. Zhang. Two-Dimensional Space Turntable Pitch Axis Trajectory Prediction Method Based on Sun Vector and CNN-LSTM Model[J]. Applied Sciences-Basel,2023,13(8):12.
APA S. Dai, K. F. Song, Y. L. Wang and P. J. Zhang.(2023).Two-Dimensional Space Turntable Pitch Axis Trajectory Prediction Method Based on Sun Vector and CNN-LSTM Model.Applied Sciences-Basel,13(8),12.
MLA S. Dai, K. F. Song, Y. L. Wang and P. J. Zhang."Two-Dimensional Space Turntable Pitch Axis Trajectory Prediction Method Based on Sun Vector and CNN-LSTM Model".Applied Sciences-Basel 13.8(2023):12.

入库方式： OAI收割

来源：长春光学精密机械与物理研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。