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本文提出一种从再入体的飞行观测数据(角速率、过裁等)识别出压力中心、攻角和气动力系数的方法。该法利用变化较慢的体轴周转国模型的幅值特性进行换算,它与文献[1]、[2]提出的方法相比较,具有明显的优越性。对伤脑筋的、实际数据中存在的误差,如小不对称、偏置、相位迟后、时滞等作了恰当的处理,取得了满意的效果。提出的算法经受了数值模拟和多发实测数据的检验。本算法继承并发展了国外的WOBBLE技术。
This paper presents a method to identify the pressure center, angle of attack and aerodynamic coefficient from the re-entry flight observations (angular rate, over-cutting, etc.). The method is based on the amplitude characteristics of a slow-changing body-axis rotating body model. Compared with the methods proposed in references [1] and [2], this method has obvious advantages. On the headache, the actual data errors, such as small asymmetry, bias, phase delay, delay, etc. made the appropriate treatment, and achieved satisfactory results. The proposed algorithm has been tested by numerical simulation and multiple measured data. The algorithm inherits and develops the foreign WOBBLE technology.