Comparative Analysis Between Recursive Least Squares State Space (RLSS) and Nonlinear Least Squares (NLS) Methods for Parameter Identification in Buck Converters Applied to Solar Energy Systems

Abstract

The lifespan of a converter depends on the reliability of its components. In non-redundant designs like buck converters, a single component failure can shut down the circuit. Capacitors are most prone to failure compared to inductors and semiconductors. Monitoring parameters like equivalent series resistance, rather than relying on manual data, helps assess a converter's useful life. This article compares two parameter estimation methods: recursive state space and non-linear least squares. The R² value and residuals analysis ensure the results are reliable and correlate well with real converter values.