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Conference proceeding
Estimation of maneuvering aircraft states and time-varying wind with turbulence
AIAA Guidance, Navigation, and Control Conference
AIAA Guidance, Navigation, and Control Conference (Minneapolis, Minnesota, 08/13/2012–08/16/2012)
2012
Abstract
This paper presents an application of the Square Root Unscented Kalman Filter (SR-UKF) to the estimation of aircraft system states and to the total wind vector made up of a time-varying prevailing wind plus turbulence. The estimates are computed using conventional auto-pilot sensors with exponentially correlated measurement errors. The objective of this work is to investigate the convergence limitations of the estimates considering the covariance and time constants of the measurement error models as well as the level of intensity of the turbulence.
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Details
- Title
- Estimation of maneuvering aircraft states and time-varying wind with turbulence
- Publication Details
- AIAA Guidance, Navigation, and Control Conference
- Resource Type
- Conference proceeding
- Conference
- AIAA Guidance, Navigation, and Control Conference (Minneapolis, Minnesota, 08/13/2012–08/16/2012)
- Publisher
- American Institute of Aeronautics and Astronautics (AIAA); United States
- Copyright
- © 2012 by Atilla Dogan
- Identifiers
- 99380090769006600
- Academic Unit
- Intelligent Systems and Robotics; Hal Marcus College of Science and Engineering
- Language
- English