Research on aviation synchronous generator dynamic performance based on empirical mode decomposition and support vector machine

摘要

Based on the in-depth study of empirical mode decomposition (EMD) and support vector machine (SVM) algorithm, a model for aviation synchronous generator dynamic performance was presented. The EMD method was firstly 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 showed that the dynamic transient process of aviation synchronous generator's voltage regulation was successfully described by the model, so this method was proven to be correct and reliable.