A Method of Improving the Accuracy of Satellite Attitude Determination

Abstract

The invention belongs to the field of satellite analysis, and especially relates to a method used for increasing satellite attitude determination precision. The method comprises following steps: a uncertainty system model of a satellite attitude determination system is constructed based on the relative installation error of a star sensor; the uncertainty system model is subjected to standardization so as to obtain a Robust filtering algorithm iteration structure form; the weighting matrix in the Robust filtering algorithm iteration structure form is determined based on estimated error least squares optimization; a novel Robust filtering algorithm is constructed based on the Robust filtering algorithm iteration structure form and the weighting matrix; the novel Robust filtering algorithm isadopted for data processing of satellite attitude measuring data. The method is capable of inhibiting influences of star sensor relative installation error on satellite attitude determination, and increasing satellite attitude determination precision.

Description

technical field [0001] The invention relates to the field of satellite analysis, in particular to a method for improving the accuracy of satellite attitude determination. Background technique [0002] The star sensor / gyro combined attitude determination mode takes the gyro as the reference, the star sensor corrects the gyro drift, and uses the Kalman (Kalman) filter to process the measurement data to obtain the estimated value of the satellite attitude. Kalman filtering is designed based on a linear state-space model, which requires the model form and parameters to be known precisely, and the system noise is Gaussian white noise. However, in the actual application process, since satellites (especially complex satellites) are inevitably affected by various environmental and satellite orbital factors such as vibration, jitter, temperature changes, and star deformation during orbital operation, the attitude of the star sensor The characteristics of the measurement error have c...

AI Technical Summary

Problems solved by technology

However, in theory, there is no basis for artificially adjusting the filtering parameters.

In practice, it is often difficult to manually adjust the filtering parameters, and improper selection of parameters will cause the filtering performance to decline

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