基于EMD/SVM的飞机发电机动态特性建模分析

Research on Aviation Synchronous Generator's Dynamic Performance Based on Empirical Mode Decomposition and Support Vector Machine

在深入研究经验模态分解(EMD)和支持向量机(SVM)算法的基础上,结合两者优势建立了飞机发电机动态特性模型。首先利用EMD方法对输入模型的信号进行去噪处理,然后在突加突卸负载的条件下利用SVM方法建立发电机动态特性模型。实验结果表明,该模型能较好地反映飞机发电机调压的动态过渡过程,验证了该方法的正确性和有效性。

Based on the in-depth study of empirical mode decomposition and support vector machine algorithm, a model for aviation synchronous generator＇s dynamic performance was presented. The EMD method was used to denoise the input signal of the model. The SVM method was used to establish the model of synchronous generator＇s dynamic performance under the condition of instant load and unload. The results show that the dynamic transient process of aviation synchronous generator＇s voltage regulation is successfully described by the model, and the method is correct and reliable.