System Identification Based Parameter Monitoring Approach for DC-DC Superbuck Converter

摘要

The parameter monitoring is desirable in mission-critical applications such as satellite primary energy systems (Power Conditioning Unit, PCU). A fourth-order converter called superbuck is often used to connect solar arrays to the rest of the power system because of its excellent properties of providing continuous input current. Fast parameter monitoring is a mandatory step in order to make a suitable response to predict these failures. Here, a model-based dynamic health monitoring method based on parameters monitoring for superbuck is presented. To address the aforementioned issue, a forgetting factor recursive least squares parameter estimation (FFRLS) method is adopted to estimate the component parameters of the superbuck converter. Finally, simulation experiment reveal the validity of the proposed approach. The proposed approach enables a flexible solution for improving fault tolerance and awareness in superbuck and other power electronics systems.