| タイトル | Formulation and implementation of nonstationary adaptive estimation algorithm with applications to air-data reconstruction |
| 本文（外部サイト） | http://hdl.handle.net/2060/19850018388 |
| 著者（英） | Whitmore, S. A. |
| 著者所属（英） | NASA Ames Research Center |
| 発行日 | 1985-05-01 |
| 言語 | eng |
| 内容記述 | The dynamics model and data sources used to perform air-data reconstruction are discussed, as well as the Kalman filter. The need for adaptive determination of the noise statistics of the process is indicated. The filter innovations are presented as a means of developing the adaptive criterion, which is based on the true mean and covariance of the filter innovations. A method for the numerical approximation of the mean and covariance of the filter innovations is presented. The algorithm as developed is applied to air-data reconstruction for the space shuttle, and data obtained from the third landing are presented. To verify the performance of the adaptive algorithm, the reconstruction is also performed using a constant covariance Kalman filter. The results of the reconstructions are compared, and the adaptive algorithm exhibits better performance. |
| NASA分類 | AIRCRAFT DESIGN, TESTING AND PERFORMANCE |
| レポートNO | 85N26699
H-1285
NASA-TM-86727
NAS 1.15:86727 |
| 権利 | No Copyright |
| URI | https://repository.exst.jaxa.jp/dspace/handle/a-is/156429 |
