Stator Fault Detection in Induction Machines by Parameter Estimation Using Adaptive Kalman Filter

Aerodynamic parameter estimation using adaptive unscented Kalman filter

Purpose – The purpose of this paper is to estimate aerodynamic parameters accurately from flight data in the presence of unknown noise characteristics. Design/methodology/approach – The introduced adaptive filter scheme is composed of two parallel UKFs. At every time-step, the master UKF estimates the states and parameters using the noise covariance obtained by the slave UKF, while the slave UK...

Stator Core Fault Diagnosis in Induction Motor Using Adaptive Observer

This document presents a method of on-line fault diagnosis for iron core of induction motor stator based on adaptive observer. Due to the equivalent resistance is directly affected by the stator core fault, while the iron loss is considered in the series iron loss model of the induction motor, so we can determine the core fault state by identifying equivalent iron consumption resistance. In thi...

Diagnosis of induction machines by parameter estimation

Nonlinear Control of Induction Machines Using an Extended Kalman Filter

This paper, we propose the comparative study between the performances of the proposed controller and field oriented control. With an aim of improving the field oriented control, the control of the induction motor by Input-Output linearization techniques are used to track torque and rotor flux and the scheme is extended for speed control is presented. The methods are compared in terms of their a...

Doppler and bearing tracking using fuzzy adaptive unscented Kalman filter

The topic of Doppler and Bearing Tracking (DBT) problem is to achieve a target trajectory using the Doppler and Bearing measurements. The difficulty of DBT problem comes from the nonlinearity terms exposed in the measurement equations. Several techniques were studied to deal with this topic, such as the unscented Kalman filter. Nevertheless, the performance of the filter depends directly on the...

Extended Kalman Filter for Sensorless Fault Tolerant Vector Control of PMSM with stator resistance estimation

This paper aims to provide a high performance sensorless control based on an Extended Kalman Filter (EKF) applied to fault-tolerant PMSM drive system with statorresistance estimation. It proposes a fast method of fault switches detection in the power converters. The considered drive is composed of three phases PMSM and a four leg three phase’s inverter when the fourth is the redundant leg. Afte...