Attitude model identification of on-orbit satellites

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Attitude model identification of on-orbit satellites

Geng, Lihui / Zhang, Tao / Xiao, Deyun / Song, Jingyan

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The purpose of this paper is to propose an identification algorithm to obtain generalized attitude model (GAM) of satellites in on-orbit environment, which includes missing attitude data and multi-noise. The identified GAM and noise model are the basis of attitude control and state estimation on-orbit.

Design/methodology/approach –

To cope with noises contaminating both input and output of attitude model, the errors-in-variables model is transformed into a traditional Box-Jenkins model according to the attitude control loop. The wavelet denoising (WD) technique is helpful to predict the missing output data using the identified GAM.

Findings –

By the numerical simulation, it is verified that the proposal accompanied with WD has a faster prediction capability than that of the algorithm without WD. As a result, the proposed approach is suitable to attitude model identification of on-orbit satellites.

Originality/value –

This identification algorithm can deal with two kinds of on-orbit conditions and has a fast parameter convergent rate. Therefore, it has a practical application value in on-orbit environment.