Aircraft Dynamic Parameters Identification Based on Adaptive Weight Kalman Filter
Ying Nie, Chunmei Yu, Wenyan Bai · 2021 China Automation Congress (CAC) · 2021
An incremental dynamic parameter identification model is proposed based on the small disturbance equation of pitch channel of the aircraft. The Kalman filter (KF) is used to identify the aircraft dynamic parameters representing the static stability and elevator efficiency. In order to solve the problem of the divergence of identification results using traditional KF, an Adaptive Weight Kalman filter (AWKF) is proposed using rated aerodynamic parameters and prior knowledge. The simulation results show that the identification results of this filter is significantly better than the traditional KF, and can effectively suppress the divergence of the identification results.