Online parameter identification of synchronous machines using Kalman filter and recursive least squares
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for parameter identification of salient pole synchronous machines that is based on previous knowledge about the equipment and can be used for condition monitoring, online assessment of the electrical power grid, and adaptive control. It uses a Kalman filter to handle noise and correct deviations in measurements caused by uncertainty of instruments or effects not included in the model.
Then it applies a recursive least squares algorithm to identify