ANALYSIS AND MODELING OF DIRECTIONAL ERROR OF MAGLEV GYRO TOTAL STATION
1)School of Geology Engineering and Geomatics,Chang’an University,Xi’an 710054
2）School of Civil Engineering and Hydraulic,Hefei University of Technology,Hefei 230009
Abstract Aim to determine the mathematical model of directional error data of maglev gyro total station. The time series processing method was used to analyze the initial current data of stator observed by the maglev total station, all data are used to calculate directional angle, which belong to unstable time series process. At different environmental conditions, the random sequence data showed a periodic, trend, conditional variance and singular value features. In this paper,the difference technique is used to extract the trend error and BoxJenkins method is used for modeling the stable stochastic process. According to the differential data characteristics, we can use the different model to predict the future monitoring values, to estimate and control the current data which used to calculate the directional angle, in order to improve the accuracy of directional angle.
