Affiliation:
1. School of Instrument Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China
Abstract
Arriving on time is of great importance for flight management and passenger experience. One of the essential factors that impacts on-time arrival is the wind condition. Accurate information of wind speed and direction around the fuselage helps to improve the performance of on-time arrival and four-dimensional trajectory (4DT) planning. To determine accurate wind information in real-time, a novel airborne estimation method of wind speed and direction is proposed in this paper. Inertial Navigation System (INS), Global Satellite Navigation System (GNSS), and Air Data System (ADS) are fused in an Unscented Kalman Filter (UKF), which provides great accuracy and robustness in nonlinearity conditions. The dynamic models of wind are established, and implementations of the UKF are detailed. Finally, simulations are designed and the effectiveness of the proposed method is verified through the comparison with the traditional direct measurement method. Results demonstrate that the accuracy of wind speed and direction obtained by our method is nearly two times higher than the traditional direct measurement method.
Funder
Aeronautical Science Foundation of China
Subject
Electrical and Electronic Engineering,Instrumentation,Control and Systems Engineering
Reference31 articles.
1. Wind field estimation for small unmanned aerial vehicles;J. W. Langelaan
2. Impact Point Prediction for Thrusting Projectiles in the Presence of Wind
3. Neutral energy cycles for a vehicle in sinusoidal and turbulent vertical gusts;P. B. S. Lissaman
4. Energy-Efficient Trajectories of Unmanned Aerial Vehicles Flying through Thermals
5. Nonlinear adaptive flight control using neural networks;A. J. Calise;IEEE Control Systems,1998