IDENTIFICATION OF SYNCHRONOUS MACHINES PARAMETERS USING BROAD-BAND EXCITATIONS

This paper describes a newly developed measurement and identification technique for synchronous machine parameters. The first part presents a technique to generate periodic broadband power signals with a contro llable amplitude spectrum using a classic rectifier bridge. These sign als are well suited to measure the frequency response function of larg e power systems using the fast Fourier transform. The broadband measur ements are compared with the classical mono frequency measurements. Th e second part presents a frequency domain identification method taking into account the uncertainty on all the current and voltage measureme nts, and giving a confidence interval on the estimated synchronous mac hine parameters. As an illustration the d- and q-axis model of a 1.905 kVA/220 V micro-machine is identified.