Parameter estimation models for induction machines

The use of system identification methods to determine the parameters of an induction machine is discussed. The problem of parameter estimation of an induction machine is solved using linear models. The linear regression models are derived from the steady state machine model. The models are formulated to estimate a parameter vector whose length and composition are variable. The proposed models enable one to estimate the basic induction machine parameters. Also, with the proposed approach one may estimate on-line the rotor time constant and the shaft speed. The data vector employed in the estimation procedure is obtained from the phase measurement data. The proposed models are evaluated through simulation and using experimental data.>