An effective hybrid approach based on grey and ARMA for forecasting gyro drift

作者：Zhou Zhi Jie^*; Hu Chang Hua

来源：Chaos Solitons & Fractals, 2008, 35(3): 525-529.

DOI：10.1016/j.cbaos.2006.05.039

Gyro plays an important role in navigational systems and its drift has a direct influence on the precision. Therefore it is crucial that the gyro drift be forecasted precisely. In this paper, a hybrid modeling and forecasting approach based on the grey and the Box-Jenkins autoregressive moving average (ARMA) models is proposed to forecast the gyro drift. The results of experiments show that this method can forecast the drift precisely, which provides a basis for performance analysis and fault forecasting. Meanwhile, it can also be concluded that the hybrid method has a higher forecasting precision to the complex problems than the single method.

• 出版日期2008-2
• 单位清华大学