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Huber Second-order Variable Structure Predictive Filter for Satellites Attitude Estimation
Lu Cao,Dechao Ran,Xiaoqian Chen,Xianbin Li,Bing Xiao 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.7
This work presents a novel filtering approach to the high-accuracy attitude estimation problem of satellites. A new second-order variable structure predictive filter is first designed with the measurement errors and theirdifference reduced. The key feature of this filter is that the noise handled is not constrained to be the Gaussianwhite noise. Hence, it is a new solution to filtering problem in the presence of modeling errors or heavy-tailednoise. Then, the robust version of the preceding filter is developed by using the Huber technique. This robustfilter can ensure great robustness and perfect estimation accuracy/precision for the satellite attitude. The Lyapunovstability analysis proves that the measurement error and its difference can be stabilized into a small set with a fasterrate of convergence. The effectiveness of the presented attitude estimation filters is validated via simulation bycomparing with the traditional cubature Kalman filter.