Fault Diagnosis of PMSG Stator Inter-Turn Fault Using Extended Kalman Filter and Unscented Kalman Filter

Abstract

Since the permeant magnet synchronous generator (PMSG) has many applications in particular safety-critical applications, enhancing PMSG availability has become essential. An effective tool for enhancing PMSG availability and reliability is continuous monitoring and diagnosis of the machine. Therefore, designing a robust fault diagnosis (FD) and fault tolerant system (FTS) of PMSG is essential for such applications. This paper describes an FD method that monitors online stator winding partial inter-turn faults in PMSGs. The fault appears in the direct and quadrature (dq)-frame equations of the machine. The extended Kalman filter (EKF) and unscented Kalman filter (UKF) were used to detect the percentage and the place of the fault. The proposed techniques have been simulated for different fault scenarios using Matlab®/Simulink®. The results of the EKF estimation responses simulation were validated with the practical implementation results of tests that were performed with a prototype PMSG used in the Arab Academy For Science and Technology (AAST) machine lab. The results showed impressive responses with different operating conditions when exposed to different fault states to prevent the development of complete failure.

Comparative Analysis Between Unscented and Extended Kalman Filters for PMSG Inter-Turn Fault Detection

“…The EKF is an optimal estimator that works recursively to estimate the parameters that it is hard to measure in nonlinear systems [24]. The first step in the EKF technique is linearizing the state-space model matrices using the Jacobian linearization as mentioned in the following equation:…”

“…However, if the system is highly non-linear, they cannot give a precise estimation value for the estimated parameters in all operating points. In [24], a comparison between the EKF and the UKF techniques is introduced in estimating the stator inter-turn fault in the PMSG. This paper will concentrate on studying the difference between UKF and EKF as model-based fault detection algorithms for the detection of stator inter-turn faults in the PMSG considering the measurement' noise, in contrast to the free noise case in [24].…”

The Fault Tolerant Control Design of an Intensified Heat-Exchanger/Reactor Using a Two-Layer, Multiple-Model Structure

“…The unscented Kalman filter was proposed by Julier and Uhlman in the context of state-estimation for nonlinear systems [ 26 ]. To avoid the linearization process in the famous extended Kalman filter (EKF), a finite set of weighed sigma points will be generated by the UKF to compute the predicted states and measurements and the associated covariance matrices [ 27 ]. Generally, the UKF estimates the states of nonlinear systems according the flowing steps.…”

Analysis and detection of turn‐to‐turn short circuit fault in a permanent magnet Vernier generator based on modified winding function

“…Using the equations obtained from the magnetic potential vector, the PM machine is analysed under an electrical fault. The PMSG is modelled under the TTSC fault in the dq reference frame in [24]. It has been used to detect the severity of the TTSC fault using the Kalman filter and extended Kalman filter.…”