Estimation of synchronous machine parameters from multisine stand-still frequency response test data

This paper is dealing with high power broadband signals (multisines) applied in Stand-Still Frequency Response (SSFR) technique for the measuring and modelling of electrical machine characteristics. The powerful excitation signals used are periodic functions with controllable amplitude spectrum. Their are obtained using a thyristor rectifier as an amplifier. Therefore, the excitation signal (multisine waveform) is superimposed on a DC current. The effects of the DC component and of the excitation signal (multisine amplitude) on estimated parameter values are discussed. The aim of the topic is to show that, even in noise corrupted environment, the multisine (msine) signals applied to SSFR test can deliver coherent synchronous machine parameters, using the frequency domain Gaussian Maximum Likelihood Estimator (MLE) method for identification.