Study on Combined Forecasting of Stabilized Platform Motion Attitude

Abstract

Aiming at the time delay existing in measuring process of stabilized platform motion attitude, a novel combined forecasting method based on hierarchical structure theory is proposed. AR(p) model and metabolism GM(1, 1) model are employed as single models, and hierarchical structure based weight determining method is used to ascertain the weights of each single model. To improve the forecasting precision, residual errors are compensated with GM(1, 1) model. At the end of the paper, simulation analysis with observed data from stabilized platform experiment is carried out, and the simulation results show that the method is effective.