Real-time embedded Fault Detection Estimators in a satellite´s Reaction Wheels

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 real-time FDKFE strategies consist of two embedded multiple model bank of nonlinear Kalman Filter (Extended/Unscented) estimators. This research work is based on our previous results in this field and we intend to extend this approach by real-time implementations of the developed 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.