Parameters identification of the satellite attitude control system with large inertia rotating components

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Published Oct 26, 2023
Xueqin Chen Boyu Yang Fan Wu Hongxu Wang Qihan Ma Chengfei Yue

Abstract

This paper investigates the unbalance parameter identification of the large inertia rotating component of satellite. Firstly, the dynamics model with unbalance parameter of the large inertia rotating component is established. Then, based on the principle of parameter separation and decoupling, a modified two-stage exogenous Kalman filter (TSXKF) algorithm is proposed. This method works directly on nonlinear system, estimates the centroid position, the centroid velocity, attitude angular, attitude angular velocity, and identifies the nonlinear unknown static unbalance parameter, which is the centroid offset. Finally, the simulation results verify the effectiveness of the method.

How to Cite

Chen, X., Yang, B., Wu, F., Wang, H., Ma, Q., & Yue, C. (2023). Parameters identification of the satellite attitude control system with large inertia rotating components. Annual Conference of the PHM Society, 15(1). https://doi.org/10.36001/phmconf.2023.v15i1.3548
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Keywords

satellite, parameters identification, centroid offset, Kalman filtering, large inertia rotating components.

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Section
Technical Research Papers