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

Zhi-Jie Zhou and Chang-Hua Hu

Chaos, Solitons & Fractals, 2008, vol. 35, issue 3, 525-529

Abstract: 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.

Date: 2008
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:35:y:2008:i:3:p:525-529

DOI: 10.1016/j.chaos.2006.05.039

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