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给出飞行器广泛使用的空气油液减震器作线性刚度阻尼特性的简单实用辨识方法。本法中采用幂级数展开建立减震器作线性模型，引入新变量后，将非线性辨识问题简化为含未知线性参数的线性辨识问题。设残差为与观测数据不相关的平稳过程，根据残差平方和最小的条件求得线性参数矢量无偏、有效和一致的估计子。模型的阶和最有效的独立变量分别按残差序列相关信息熵准则及最优干集回归法确定。实验表明，辨识结果相当满意，给出的方法实用，可供全面研究减震器动特性时使用。
A simple and practical method of identifying the linear stiffness damping characteristics of air-oil shock absorbers widely used in aircraft is given. In this method, the shock absorber is developed as a linear model by using the power series. After introducing new variables, the nonlinear identification problem is reduced to a linear identification problem with unknown linear parameters. Suppose the residual is a stationary process which is not related to the observed data. The unbiased, valid and consistent estimator of the linear parameter vector is obtained according to the minimum residual sum of squares. The order of the model and the most effective independent variables are respectively determined by the residual information entropy criterion and the optimal dry set regression method. Experiments show that the identification results are quite satisfactory, and the presented methods are practical and can be used for the comprehensive study of dynamic characteristics of shock absorbers.