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研究了利用极大似然理论进行有控飞行器气动参数辨识的问题。首先介绍了牛顿－拉夫逊（ＭＮＲ）简化算法；然后，提出了采用引入外部激励的办法进行气动参数辨识，这种方法可增强参数的可辨识性；最后提出了构造故障弹道辨识气动参数的设想，由于特定的故障弹道和外加激励一样，不同程度地激发了导弹的飞行信息，故辨识结果较好。
The problem of using the maximum likelihood theory to identify the aerodynamic parameters of a controlled aircraft is studied. Firstly, the Newton-Raphson (MNR) simplified algorithm is introduced. Then, the introduction of the external excitation method for the aerodynamic parameter identification is proposed. This method can enhance the identifiability of the parameters. Finally, the conception of constructing the aerodynamic parameters of the fault ballistic identification Because of the specific failure trajectory and the same external excitation, to varying degrees, inspired the missile flight information, so the recognition result is better.