A New Evolutionary Algorithm for Ground to Flight Data Correlation

	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)
会议录名称	7th East Asia SIAM Conference
	2011-06
会议名称	7th East Asia SIAM Conference
会议日期	June 27-29, 2011
会议地点	Kitakyushu Campus, Waseda University, Japan
摘要	In 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.
课题组名称	LHD激波与爆轰物理
语种	英语
文献类型	会议论文
条目标识符	http://dspace.imech.ac.cn/handle/311007/46956
专题	高温气体动力学国家重点实验室
推荐引用方式 GB/T 7714	Luo CT,Zhang SL,Jiang ZL. A New Evolutionary Algorithm for Ground to Flight Data Correlation[C]7th East Asia SIAM Conference,2011.