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- W2366713975 abstract "Considering the character of vector observation, a real time predictive filter based on minimum model error (MME) criterion is presented for satellite attitude estimation. Using vector measurements, the filter predicts torque modeling errors in the dynamics equation one time step ahead, then the dynamics model is corrected by the predicted value, consequently the satellite attitude can be estimated accurately and the angular rate estimate is obtained also. By the definition of error observation vector, the modified predictive algorithm that simplifies criteria function is also derived. The predictive filter and the modified one overcome the shortcomings of the EKF filter, they can effectively solve nonlinear estimation problems in the presence of significant model error. Both feasibility and high performance of the predictive filter and the modified one is demonstrated by simulation test." @default.
- W2366713975 created "2016-06-24" @default.
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- W2366713975 date "2002-01-01" @default.
- W2366713975 modified "2023-09-23" @default.
- W2366713975 title "Nonlinear predictive filter for satellite attitude estimation based on MME criterion" @default.
- W2366713975 hasPublicationYear "2002" @default.
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