Real-Time Parameter Estimations of DC-AC Converters Using a Kalman Filter Approach

This paper proposes an approach for real-time parameter estimation of inverter-based systems, with validation via simulation. The Recursive Least Squares (RLS) and the Kalman Filter (KF) algorithms are compared and evaluated, with the KF showing the advantage of maintaining stability and responsiveness due to its covariance matrix update scheme.