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作 者:Wen-Juan Wang Bao-Qing Han Long-Yang Wang Tian Luan Yue-Fei Yan Wu-Lin Zhao De-Qing Kong Yang Wu Cong-Si Wang
机构地区:[1]Key Laboratory of Electronic Equipment Structure Design,Ministry of Education,Xidian University,Xi’an 710071,China [2]The 39th Research Institute of China Electronics Technology Group Corporation,Xi’an 710065,China [3]National Astronomical Observatories,Chinese Academy of Sciences,Beijing 100101,China [4]The 54th Research Institute of China Electronics Technology Group Corporation,Shijiazhuang 050081,China [5]Guangzhou Institute of Technology,Xidian University,Guangzhou 510555,China
出 处:《Research in Astronomy and Astrophysics》2023年第9期20-28,共9页天文和天体物理学研究(英文版)
基 金:the National Key Research and Development Program of China(grant No.2021YFC2203600);National Natural Science Foundation of China(NSFC,grant No.52275268);National Defense Basic Scientific Research Program of China(grant No.JCKY2021210B007);Wuhu and Xidian University Special Fund for Industry-University-Research Cooperation(grant No.XWYCXY-012021012);Youth Innovation Team of Shaanxi Universities(grant No.201926);Fundamental Research Funds for the Central Universities(grant No.XJSJ23122).
摘 要:A large,fully steerable radio telescope is susceptible to the wind load,leading to structure deformation andpointing deviation of the telescope.To effectively suppress the influence of dynamic wind load,the wind resistancecontrol of the telescope is carried out based on wind speed forecasting.This study developed a wind speedforecasting model to efficiently forecast the wind speed at the telescope position.The proposed model successfullyeliminates the random noise of the original wind speed,effectively extracts the wind speed features and solves theautomatic optimization of the hyperparameters of the forecasting network.This model significantly improves theaccuracy and reliability of wind speed forecasting.To verify the forecasting performance of the proposed model,the wind data from the Qitai Radio Telescope site is examined as a case study.The wind speed forecasting model’sMAE,RMSE and MAPE are 0.0361,0.0703 and 3.87%,respectively.The performance of the proposed modelmeets the requirements of wind resistance control and can provide data support for the radio telescope.
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