中文摘要：

采用时间序列方法对高精度磁悬浮陀螺全站仪采集的原始电流数据进行分析,得出仪器用于计算定向角的转子电流数据多数情况下属于非平稳时间序列,其非平稳时间序列在不同的观测条件下表现出随机趋势性、周期性、条件异方差、异常观测值的特性。研究基于磁悬浮技术的陀螺全站仪定向误差数据的数学模型,用差分的方法剔除趋势项,用Box-Jenkins方法对平稳随机序列建模,根据不同的数据特征建立不同的时间序列模型预测和控制用于计算定向角的电流数据的精度,提高定向角的精度。

英文摘要：

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 Box-Jenkins 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.