Abstract
In this work, the problem of estimating the states of a nonlinear dynamic system is exposed, where it is necessary to implement algorithms that treat said linearity and allow to estimate in an appropriate way the future states of said system. One of the techniques that is responsible for the estimation task for non-linear models is the extended Kalman filter which will be developed in this work for the estimation of the states of the synchronous machine of permanent magnets with its dynamic model determined in the framework reference dq.
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