MEMS gyroscope in-orbit constant drift calibration method and system for microsatellite

Abstract

The invention discloses an MEMS gyroscope in-orbit constant drift calibration method and system for a microsatellite. The method comprises the following steps: determining a calibration mode of a gyroscope in an attitude determination system; determining a time interval of calibration and a group number k of data volumes of the star sensor and the MEMS gyroscope required by calibration according to a task condition; obtaining attitude quaternion and gyro data of a star body relative to an inertial system output by the star sensor at the current moment, judging the data validity, and if the data validity, adding 1 to the data group number; if not, abandoning the group of data, and waiting for the next group of data until the data volume meeting the condition reaches k groups; and carrying out calibration calculation based on the k groups of data to obtain constant drift of a measured angular velocity of the gyroscope under the relative inertial system of the satellite body, judging a calculation result, and if the calibration is successful, returning the calibration result to the attitude determination system for carrying out zero compensation on the gyroscope data.

Description

technical field [0001] The invention relates to the field of spacecraft attitude determination and control. More specifically, it relates to a MEMS gyroscope on-orbit constant drift calibration method and system for micro-satellites. Background technique [0002] Due to the advantages of small size, light weight, good performance, short development cycle, low cost, and flexible launch methods, microsatellites have been widely used in communication, remote sensing, navigation, scientific exploration and other fields, and have become an important development in the current aerospace development. One of the directions, and shows good economic and social benefits. All countries in the world attach great importance to the development of the Wiener satellite industry. Since 2015, China's small industry has begun to develop "blowout". It is estimated that in five to ten years, China's Weiner satellite industry, driven by the construction and operation of micro-satellite constella...

AI Technical Summary

Problems solved by technology

Although UKF solves the filter divergence problem caused by severe nonlinearity, because it uses a Gaussian distribution to approximate the posterior probability density of the system, if the probability density is not Gaussian, it will bring a huge error and the calculation speed is slow

[0005] Aiming at the problems that the existing MEMS gyroscope constant drift on-orbit calibration method is complicated, the calculation amount is large, and the algorithm is prone to divergence and instability, the solution provided by the invention can be used for the constant drift calibration of MEMS gyroscopes during the on-orbit phase of micro-satellites

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