Title :
Identification of synchronous machines parameters using broadband excitations
Author :
Beya, K. ; Pintelon, R. ; Schoukens, J. ; Lataire, P. ; Guillaume, P. ; Mpanda-Mabwe, B. ; Delhaye, M.
Author_Institution :
Dept. ELEC, Vrije Univ., Brussels, Belgium
fDate :
6/1/1994 12:00:00 AM
Abstract :
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 controllable amplitude spectrum using a classic rectifier bridge. These signals are well suited to measure the frequency response function of large power systems using the fast Fourier transform. The broadband measurements are compared with the classical mono frequency measurements. The second part presents a frequency domain identification method taking into account the uncertainty on all the current and voltage measurements, and giving a confidence interval on the estimated synchronous machine parameters. As an illustration the d- and q-axis model of a 1.905 kVA/220 V micro-machine is identified
Keywords :
bridge circuits; frequency response; frequency-domain analysis; identification; machine testing; machine theory; parameter estimation; power system measurement; rectifying circuits; stators; synchronous machines; 1.905 kVA; 220 V; broadband excitations; confidence interval; controllable amplitude spectrum; current measurement; fast Fourier transform; frequency domain identification method; frequency response function; micromachine; mono frequency measurements; parameter identification; periodic broadband power signals; power systems; rectifier bridge; synchronous machines; uncertainty; voltage measurement; Bridge circuits; Fast Fourier transforms; Frequency measurement; Frequency response; Power generation; Power measurement; Power system measurements; Rectifiers; Signal generators; Synchronous machines;
Journal_Title :
Energy Conversion, IEEE Transactions on
