Optimal Kalman Estimation of Symmetrical Sequence Components

摘要: This article reexamines the problem of estimating symmetrical sequence components, more specifically, optimal estimation magnitude and phases components. We first address compare different setups for Kalman filter, including those that make use three-phase measurements where are transformed by Clarke transform, in well-known direct quadrature (dq) reference frame. Our main contribution is to show disregarding some zero, positive, negative which common practice, almost always lead an estimator with suboptimal performance. Moreover, we performance can be recovered if all made available filter. simple numerical examples explain our results, finish this a unified set guidelines or best practices regarding components filters.