Research on transonic aerodynamic parameter online identification

被引：0
|
作者：
Yu S.-J. [1 ]
Cheng Y.-Q. [2 ]
Qian W.-Q. [2 ]
机构：
[1] Shanghai Engineering Center for Microsatellites
[2] Computational Aerodynamics Institute, Chinese Aerodynamics Research and Development Center
来源：
Yuhang Xuebao/Journal of Astronautics | 2011年 / 32卷 / 06期
关键词：
Augmented extended kalman filter; Online identification; Strong tracking filter;
D O I：
10.3873/j.issn.1000-1328.2011.06.001
中图分类号：
学科分类号：
摘要：
Reentry body transonic aerodynamic parameter online identification methods are researched, and an augmented extended kalman filter is used as the online identification tools. Effect of the augmented extended kalman filter approach on joint state and parameter estimation is overall analyzed, and it is found that slowly varying parameters are well estimated, but estimate values for fast varying parameters are largely divergent. To overcome this disadvantage, a new kind of strong tracking filter is introduced into the traditional augmented extended kalman filter, the simulation shows that strong tracking filter can effectively overcome the disadvantage of larger estimation error for general augmented extended kalman filter.
引用
收藏
页码：1211 / 1216
页数：5
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