Print Email Facebook Twitter Wind and Airflow Angle Estimation Using an Adaptive Extended Rauch-Tung-Striebel Smoother Title Wind and Airflow Angle Estimation Using an Adaptive Extended Rauch-Tung-Striebel Smoother Author Fang, X. (Technische Universität München) de Visser, C.C. (TU Delft Control & Simulation) Pool, D.M. (TU Delft Control & Simulation) Holzapfel, Florian (Technische Universität München) Date 2022 Abstract This paper proposes a new method that estimates the three-dimensional stochastic wind velocity for an aircraft equipped with a Pitot-static tube and airflow vanes. Since the performance of most state estimators, e.g., the extended Rauch-Tung-Striebel smoother, relies on the process and measurement noise covariance settings, the proposed method employs the expectation-maximization approach to estimate the noise covariance matrices to improve the estimation accuracy. Numerical simulations demonstrated that the proposed method can successfully estimate the noise covariance matrices, especially for the noise covariance of the wind velocity, using the measurement data and reconstruct the wind velocity offline. Additionally, the smoothed true airspeed, angle of attack, and angle of sideslip data are more accurate compared to the direct measurements. This feature is also beneficial for other applications such as the aerodynamic model identifications of aircraft. To reference this document use: http://resolver.tudelft.nl/uuid:94cca012-680c-4483-9ba0-107683a2ee9f DOI https://doi.org/10.2514/6.2022-1399 ISBN 978-1-62410-631-6 Source AIAA SCITECH 2022 Forum Event AIAA SCITECH 2022 Forum, 2022-01-03 → 2022-01-07, virtual event Series AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022 Part of collection Institutional Repository Document type conference paper Rights © 2022 X. Fang, C.C. de Visser, D.M. Pool, Florian Holzapfel Files PDF 6.2022_1399.pdf 10.7 MB Close viewer /islandora/object/uuid:94cca012-680c-4483-9ba0-107683a2ee9f/datastream/OBJ/view