The estimation of a synchronous machine's electrical parameters using an extended Kalman filter (EKF) is proposed. The estimation method is evaluated using digital computer simulations as well as practical measurements on a microalternator. The captured data are used, together with an initial set of machine parameters, as input to an EKF to estimate an improved set of parameters. Results indicate that the parameter estimation method is valid under certain conditions but that with high-order models, it is computationally intensive and that certain parameter estimates are noise sensitive.>
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Fairbairn et al. (1992) studied this question.
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