Thermal state estimation based on Assisted Ensemble Kalman Filter
Author:
Affiliation:
1. Department of Aerospace Engineering, Tohoku University
2. Institute of Fluid Science, Tohoku University
3. Industrial Cyber-Physical Systems Research Center, National Institute of Advanced Industrial Science and Technology (AIST)
Publisher
Japan Society of Mechanical Engineers
Link
https://www.jstage.jst.go.jp/article/transjsme/87/898/87_21-00010/_pdf
Reference15 articles.
1. Akita, T., Takaki, R. and Shima, E., A new adaptive estimation method of spacecraft thermal mathematical model with an ensemble Kalman filter, Acta Astronautica, Vol.73 (2012), pp. 144-155.
2. Anglada, E. and Garmendia, I., Correlation of thermal mathematical models for thermal control of space vehicles by means of genetic algorithms. Acta Astronautica, Vol.108 (2015), pp.1–17.
3. Evensen, G, Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics, Journal of Geophysical Research, Vol. 99, Issue C5 (1994), pp.10143–10162.
4. Higuchi, T., Ueno, G., Nakano, K. and Yoshida, R., Data douka nyuumon –Jisedai no simulation gijutu-, Asakura Publishing (2011) (in Japanese).
5. Japan Aerospace Exploration Agency, Design standard spacecraft thermal control system, JERG-2-310 NOTICE-1 (2008) (in Japanese).
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