Power converter parameter prediction based on Extended Kalman Filter

Abstract

In space power systems, high levels of reliability are required to not jeopardize the objective of the mission. With the purpose of increasing their lifetimes, a non-invasive health monitoring method is presented that estimates the parasitic resistance of the converters that conform the power subsystem. This parasitic resistance increases when the system degrades. This method is based on the use of an extended Kalman filter. By taking measurements already required either by the control stage or for telemetry purposes, it is demonstrated that it is possible to detect an increase in parasitic resistance in the converter. The implementation of this method has been validated both through simulation and experimentally.