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根据结构系统动态特性分析的模糊性， 试验测试数据和离散误差选择的模糊性， 提出了一种基于模糊优化下解决离散误差信号非线性参数识别的思想和方法。根据模糊数学权函数理论， 建立模糊优化函数， 推导出一种适用于动态结构系统响应信号高精度参数识别方法——离散误差信号模糊优化非线性参数识别算法。作为实例，对ＭＧ１４３２Ｂ整机的动态特性进行模糊分析，并将其响应信号测试数据进行模糊优化非线性参数识别，从而精确地识别出九阶模态参数， 并绘出相应点的幅、相频拟合曲线。验证结果说明， 此方法具有较高的识别精度和工程应用价值。
According to the fuzziness of structural system dynamic characteristics analysis, the test test data and the fuzziness of discrete error selection, a new idea and method to solve the nonlinear parameter identification of discrete error signals based on fuzzy optimization is proposed. According to the theory of fuzzy mathematics weight function, the fuzzy optimization function is established, and a high-precision parameter identification method of response signal for dynamic structure system is deduced - fuzzy optimization of nonlinear parameter identification algorithm of discrete error signal. As an example, fuzzy analysis of the dynamic characteristics of MG1432B machine and its response signal test data are carried out to identify non-linear parameters of fuzzy optimization so as to accurately identify the ninth-order modal parameters and plot the amplitude and phase of the corresponding points Curve fitting. The verification results show that this method has high recognition accuracy and engineering application value.