IMECH-IR  > 高温气体动力学国家重点实验室
A New Evolutionary Algorithm for Ground to Flight Data Correlation
Luo CT(罗长童); Zhang SL(张绍良); Jiang ZL(姜宗林)
Source Publication7th East Asia SIAM Conference
2011-06
Conference Name7th East Asia SIAM Conference
Conference DateJune 27-29, 2011
Conference PlaceKitakyushu Campus, Waseda University, Japan
AbstractIn hypersonic vehicle design, it is very difficult/expensive to simulate the environment in flight. Therefore, it is of key important to predict the aerodynamic coefficients of the flight vehicle using wind-tunnel and flighttest data. The task is called ground to flight data correlation, also shorten as ground/flight correlation. A number of methods have been applied to ground/flight correlation, including extrapolation [1], least squares regression [2], artificial neural network [3, 4] and maximum likelihood method [5]. However, all these methods are based on a certain model structure and optimize the parameters in the model. This is, in many cases, unreliable.
DepartmentLHD激波与爆轰物理
Language英语
Document Type会议论文
Identifierhttp://dspace.imech.ac.cn/handle/311007/46956
Collection高温气体动力学国家重点实验室
Recommended Citation
GB/T 7714
Luo CT,Zhang SL,Jiang ZL. A New Evolutionary Algorithm for Ground to Flight Data Correlation[C],2011.
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