Adaptive Kalman filtering for spacecraft attitude estimation

作者：Li, Wei^*; Liu, Meihong; Gong, Deren; Duan, Dengping

来源：Journal of Aeronautics, Astronautics and Aviation, 2013, 45(1): 45-50.

DOI：10.6125/12-1112-713

• Adaptive kalman filter
• Adaptive Kalman filtering
• Approximation errors
• Attitude estimation
• Filter algorithm
• In-flight simulation
• Spacecraft attitude estimation
• Standard Kalman filters

An adaptive Kalman filter (AKF) algorithm is proposed to model and approximation errors in this work. The adaptive algorithm for model and approximation errors is attained by using an upper bound for the state error prediction covariance matrix. The proposed adaptive filter algorithm has been tested in attitude estimation using gyroscope and star tracker sensors for single spacecraft in flight simulations. Simulation results demonstrate the superior performance of the proposed filter as compared to the standard Kalman filter.

• 出版日期2013
• 单位上海交通大学