基于优化灰色模型的捷联惯组历次测试数据建模预测

Modeling Forecast of SIMU Successive Test Data Based on Optimized Gray Model

捷联惯组历次测试数据由于受到多种随机因素的影响,其变化趋势具有非线性,同时测试数据又属于小样本.针对此特点,讨论了基于优化灰色模型的捷联惯组历次测试数据建模预测算法.首先对原始数据序列进行加速平移变换及加权均值生成,得到更适合建立灰色模型的数据序列,再采用优化背景值后的灰色模型对其变化趋势进行建模预测.实例分析证明,该模型能够准确反映捷联惯组历次测试数据的变化规律,比传统灰色模型有更高的精度.

Considering to the low prediction precision in small sample of the error coefficients of strapdown inertial measurement unit（SIMU）,optimized gray model is adopted to predict the error coefficients of SIMU.Firstly,it turns the oscillation sequence into monotone sequence by means of accelerated translation theory,then makes weighting mean value generating operation,finally it establishes the model on the basis of weighting mean value generating sequence.The simulation indicates that the method can provide more accurate data prediction than traditional gray model.