Open AccessIdentification Method of Moment of Inertia with the Observed Angular Velocity Containing Gauss White Noise
Author(s) -
G. Zhao,
Heng Zhou,
Tao Sheng
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2029/1/012097
Subject(s) - moment of inertia , control theory (sociology) , spacecraft , kalman filter , control moment gyroscope , robustness (evolution) , white noise , moment (physics) , filter (signal processing) , noise (video) , mathematics , identification (biology) , angular velocity , computer science , physics , engineering , statistics , classical mechanics , artificial intelligence , control (management) , aerospace engineering , biochemistry , chemistry , botany , biology , computer vision , image (mathematics) , gene
The identification of the mass characteristic parameters of the spacecraft plays a vital role in improving the accuracy of the spacecraft control system. Due to the limit of sensor accuracy, there exists so much noise in the measurement angular velocity data, which causes great challenge of parameter identification. In order to solve the problem of identification of the spacecraft’s moment of inertia, a new filter-identification method is proposed, which combines the square root volume Kalman filter and the recursive least square. Firstly, the filter method is used to remove the Gaussian white noise in the measurement equation and then the recursive least square method is used to calculate inertia of moment to deal with filtered data. The above steps continue to iterate until the results converge. The simulation results show that, compared with the identification result directly calculated by the recursive least square method, the identification accuracy of filter-identification method is improved by a half, which means this method is of great significance for enhancing the control accuracy and robustness of the spacecraft control system.