Stability Analysis Of Tunnel Control Network And Beam Orbit Smoothing Of Particle Accelerator

With the continuous development of science and technology,scientific research has moved into the microscopic particles field.The particle accelerator device can help researchers to explore the mysteries of microscopic particles to enhance China’s status and level in the fields of physics,biology,and medical treatment.The accelerator project has the characteristics of large scale,complex structure and extremely high accuracy,which poses a huge challenge to surveying work.During the operation of the accelerator equipment,regular maintenance is required to ensure the safe operation of the machine.This article mainly studies from three aspects: the unification between the coordinate systems of the control network in different periods,the stability analysis of the benchmark and the smoothing of the beam orbit.The main research contents and innovations are as follows:1.In order to improve the accuracy and reliability of coordinate transformation,a relatively stable common point sift method based on RANSAC algorithm is proposed.Based on quaternion coordinate transformation model,RANSAC algorithm is introduced to iteratively sift the relatively stable common points in the control network and convert them into coordinates,so as to improve the conversion accuracy.Taking the accelerator engineering tunnel control network as an example,simulation experiments and case analysis are carried out,and the results are compared with the result of coordinate transformation based on M estimation.The results show that this method can accurately locate the gross error,the misjudgment rate of the relatively stable point is lower than the result of M estimation,and its coordinate conversion accuracy is higher.2.Based on the defects that traditional TST model for solving similar transformation parameters are vulnerable to large deformation points,the RANSAC algorithm is combined with the model,and its effectiveness is verified in stability analysis of tunnel control network.First,before the transformation parameters are calculated,the RANSAC algorithm is used to filter the relatively stable points.Then,these stable points are calculated by the TST model to solve the correct transformation parameters to obtain the displacement of each network point.Finally,the stability of the control point is analyzed by the T test.Simulation experiments and case analysis are carried out and compared with the results of traditional TST model and IWST model.The results show that the new method has the highest stable point discrimination accuracy rate,and the obtained displacement is in line with the better with the actual situation.3.The particle accelerator has a short downtime and requires high relative accuracy between magnets.This study aims to improve the smoothing analysis efficiency of beam orbit by using moving least squares method.Firstly,the original smoothed data is preprocessed to make the ring magnet data linearly distributed.Secondly,the fitting area is meshed,the grid points are extracted and the appropriate basis function and weight function are selected.Then,three indicators of the smooth analysis are given and the whole calculation process is designed.Finally,the smoothing effects of the averaging method,the least squares fitting and iteration method and the method of this paper are compared and analyzed by simulation data.The results show that the fitting curve obtained by the method of this paper is the smoothest and the magnet adjustment times are the least under the same conditions.To a certain extent,the adjustment time is saved and the adjustment efficiency is improved.