Real time embedded kalman filter estimators for fault detection in a Satellite's dynamics

摘要

The main idea of this paper is the real-time implementation of the Fault Detection Kalman Filter Estimators (FDKFE) in a satellite's Reaction Wheels during its scientific mission. We assume that the satellite's reaction wheels are subjected to several failures due to the abnormal changes in power distribution, motor torque, windings current as well as the temperature caused by a motor current increase or friction. The proposed realtime FDKFE strategies consist of two embedded multiple model bank of nonlinear Kalman Filter (extended and unscented) estimators. This research work is based on our previous results in this field and now we are interested only in real-time implementation of some of these FDKFE strategies (FDDM_EKF and FDDM_UKF). Furthermore we will construct a benchmark to compare their results to have an overall image how perform these strategies. © Technomathematics Research Foundation.