ADAPTIVE ROBUST ESTIMATION OF THE ELECTRO-MECHANICAL ACTUATOR PARAMETERS IN THE PRESENCE OF SENSOR FAULTS

An Extended Kalman filter (EKF) is designed to estimate the parameters of the electro-mechanical actuator. In the presence of measurement faults, an Adaptive Robust EKF with the filter gain correction is proposed. By the use of defined variables named as measurement noise scale factor, the faulty measurements are taken into the consideration with a small weight and the estimations are corrected without affecting the characteristic of the accurate ones. In the study, the proposed Adaptive Robust EKF algorithm with measurement noise scale factor, is applied for the parameter estimation process of an electro-mechanical actuator.