Real-Time Parameter Estimation for Flexible Aircraft
| Autor: | Matthew J. Boucher, Jared A. Grauer |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
020301 aerospace & aeronautics
Iterative method Computer science Estimation theory 02 engineering and technology Collinearity Kalman filter 01 natural sciences Stability derivatives Least squares 010305 fluids & plasmas 0203 mechanical engineering Control theory Frequency domain 0103 physical sciences Leverage (statistics) |
| Zdroj: | 2018 Atmospheric Flight Mechanics Conference. |
| DOI: | 10.2514/6.2018-3155 |
| Popis: | A method for estimating aeroelastic stability and control derivatives for flexible aircraft is developed and demonstrated using flight test data for the X-56A subscale demonstrator. The method uses the equation-error approach with frequency-domain data, and can be applied post-flight or in real time during flight. The non-dimensional aeroelastic forces and moments and the explanatory variables (including generalized displacement, rate, and acceleration states for the vibration modes) are estimated using a finite element model and onboard sensor measurements in both a least squares and Kalman filtering framework. The data are then transformed into the frequency domain for parameter estimation using equation error. This method can result in a more efficient analysis than with other iterative methods, and can leverage existing statistical tools for model structure determination, data collinearity detection, combining multiple maneuvers or prior information, and others to improve model quality. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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