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实时辨识气动特性的一种动力学模型
引用本文:江权伟,陈琼康.实时辨识气动特性的一种动力学模型[J].宇航学报,1987(2).
作者姓名:江权伟  陈琼康
作者单位:中国气动力研究与发展中心 (江权伟),中国气动力研究与发展中心(陈琼康)
摘    要:本文提出一种6自由度动力学模型,结合广义卡尔曼滤波(EKF)算法,对实时辨识再入体气动特性的问题进行了研究,作了广泛的数值仿真。 本文的动力学模型与某一常规模型进行了详细比较:(1)本模型免去了常规模型中不太现实的测高假设和大气模型假设。(2)本模型可精确估计气动系数比,其中包括重要的静稳定度。此外,文章还对收敛时间、模型误差等进行了分析对比。 结果表明,与常规模型比较,本模型具有一定的优越性。

关 键 词:再入飞行器  气动特性  实时估计  动力模型  应用  卡尔曼滤波  算法  再入空气动力学

A DYNAMIC MODEL FOR REAL-TIME ESTIMATION OF AERODYNAMIC CHARACTERISTICS
Jiang Quanwei Chen Jiongkang.A DYNAMIC MODEL FOR REAL-TIME ESTIMATION OF AERODYNAMIC CHARACTERISTICS[J].Journal of Astronautics,1987(2).
Authors:Jiang Quanwei Chen Jiongkang
Institution:China Aerodynamics Research and Development Center
Abstract:A six-degree-of-freedom dynamic model has been presented in this paper. Using the model and an extended Kalman filter algorithm (EKF), the problem on the realtime identification of the aerodynamic characteristics of a reentry body is investigated and a large number of numerical simulations are conducted.A detailed comparison is made between the present model and one ordinary model. (1) The present model obviates somewhat impractical assumptions about altitude measurements and atmospheric model in the ordinary model. (2) The present model is capable of estimating aerodynamic coefficient ratios including the important static stability margin. Furthermore, convergence time and model errors are analysed and compared between the two models.The results show that the present model has some advantages as compared with the ordinary model.
Keywords:Reentry vehicle  Aerodynamic characteristic  Real-time estimation  Dynamic model  Application  Kalman filtering  Algorithm  Reentry aerodynamics  
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