Abstract:

Considering that the multiplicative extended Kalman filter (MEKF) has low accuracy and poor robustness in the application of spacecraft attitude determination, a strong tracking unscented Kalman filter algorithm based on multiple fading factors (MSTUKF) is presented. The algorithm overcomes the limitation of single fading factor for multivariable systems, and introduces two multiple fading factors to adjust the prediction error covariance, which can make the different filter channels possess different adjustment ability, and ensure the symmetry of the prediction error covariance matrix, thus realizing the strong tracking of the filtering algorithm. Simulation results show that MSTUKF is superior to MEKF in precision and robustness, and satisfies the requirements of precision and robustness which are emphasized in projects.