The wind load influence on the large aperture radio telescope performance has become one of the key factors to further improve its performance in complex environment. Obtaining the wind load distribution on the telescope aperture is very important to estimate its influence and reduce the wind disturbance on the telescope system. The aperture of the radio telescope structure can be as large as 100 m and whilst, the wind load value in the vertical direction normally varied with the height, therefore, the uniform wind load on the aperture assumption is not suitable for the radio telescope with large aperture. In this paper, a gradient segments superposition method for calculating the wind load on the reflecting surface of the large aperture radio telescope has been proposed to improve the calculation accuracy of wind load. The proposed method has been constructed by combining two regional divisions. For the first division, since the wind speed increases with the altitudinal height, reflecting surface has been evenly divided in the altitudinal direction. For the second division, it is assumed that the wind load coefficient of the reflecting surface in different rings are different and then, the reflecting surface has been divided into several uniform rings. This method improves the estimation accuracy significantly for the telescope with larger aperture. For the 110m aperture radio telescope, the wind load estimation results differ by 28%. After that, a structural dynamics model of telescope has been established and a fuzzy PID controller has been designed to reduce wind disturbance. The Root Mean Square Error (RMSE) of telescope pointing under wind disturbance has been reduced by 67.8%. It is suggested that the proposed wind load estimation method has lay a solid foundation for the design of the large telescope system under wind disturbance.

No abstract

The large, fully steerable radio telescope is susceptible to the wind load, leading to structure deformation and pointing deviation of the telescope. To effectively suppress the influence of dynamic wind load, the wind resistance control of the telescope is carried out based on wind speed forecasting. This study developed a wind speed forecasting model to efficiently forecast the wind speed at the telescope position. The proposed model successfully eliminated the random noise of the original wind speed, effectively extracted the wind speed features, and solved the automatic optimization of the hyperparameters of the forecasting network. This model significantly improves the accuracy and reliability of wind speed forecasting. To verify the forecasting performance of the proposed model, the wind data from the Qitai radio telescope site as case studies. The wind speed forecasting model's MAE, RMSE and MAPE are 0.0361, 0.0703 and 3.87%, respectively. The performance of the proposed model meets the requirements of wind resistance control and can provide data support for the radio telescope.