一种实现飞行品质参数实时辨识的实用方法

A practical method for flight quality parameter real time identification

考虑到辨识算法收敛的可靠性及结果的精度 ,采用递推最小二乘估计、飞机运动模态连续 -离散模型相互转换及递推极大似然估计 ,实现飞行品质参数的实时辨识。这种方法的优点在于算法的吸收域是全平面的 ,初值不影响算法的收敛性 ,能很好地满足实时性要求 ,同时还保证了结果精度。利用该方法对某型飞机铁鸟台实测数据进行了处理 。

In this paper, the least square estimate, maximum likelihood estimate and discrete continuous model convert are combined to get the flight quality parameter. The advantage of this method is that the parameter initial value has no influence on the convergence, that's a perfect character for on line identification and it can also meet the precision requirement. Data from the simulator is processed by this method and the result is satisfactory.