Parameter Estimation of Brushless Doubly-Fed Induction Generator Based On Steady Experimental Results

the brushless doubly-fed induction generator (BDFIG) cancels brushes on the basis of the doubly-fed induction generator by adding a set of stator and rotor windings to guarantee higher reliability. However this also leads to more complicated coupling and more difficulties of parameter measurement. This paper proposes a new and experiment-based method for BDFIG parameter estimation. With this method, currents and voltages under several simple and stable conditions are measured and the parameters required for modeling and control can be calculated. This paper discusses the basic principles and the estimation process of the proposed method in detail. A group of experiment data from a 64kW BDFIG is also used to illustrate the estimation procedure. The estimated parameters are then substituted into the mathematical simulation model and compared with the experimental results. Both steady and dynamic waveforms are well matched, which implies the accuracy of the estimated parameters. The proposed method could also be applied to other types of machines to achieve better control.