改进的极大似然算法及其在试飞数据处理中的应用

通过对一般极大似然辨识算法的分析，提出一种改进的极大似然辨识方法，使之更适合于飞机飞行试验数据处理。将其应用于纵横向耦合的六自由度飞机的飞行试验数据的协调性检验及重建。结果表明：这种方法使参数辨识的收敛速度得到大大提高，使参数初值更易于选择。

MODIFIED MAXIMUM LIKELIHOOD ALGORITHM AND ITS APPLICATION IN FLIGHT TEST DATA PROCESSING

A Modified Maximum Likelihood Algorithm is presented to process the flight test data(FTA). Based on the analyses of the Maximum Likelihood Algorithm which is being used now, two main disadvantages existing in the old algorithm are found when it is applied to process FTA. And they are solved by the Modified Maximum Likelihood Algorithm in the paper. As an example, the Modified Maximum Likelihood Algorithm is applied into the area of the FTA′s compatibility checking and reconstruction. The plane is described by the six freedom degree dynamic model. The results show that the Modified Maximum Likelihood Algorithm improves the old algorithm′s performance of convergence and makes it easier to choose the initial values of the identified parameters. It can be concluded that the Modified Maximum Likelihood Algorithm is more suitable to process the FTA than the old one.