Modeling and speed estimation of a faulty 3-phase induction motor by using extended Kalman filter

Modeling of Balanced and Unbalanced Three-Phase Induction Motor under Balanced and Unbalanced Supply Based on Winding Function Method

“…This model decreases the number of equations needed for simulation. However, it requires some modification in model structure for each fault condition in 3-phase IM [6]. Moreover the d-q model is based on the supposition that the stator windings are sinusoidal distributed.…”

A Novel Technique for Fault-Tolerant Control of Single-Phase Induction Motor

“…These control techniques assure energy saving, improved efficiency, decrease in torque response pulsation and etc [4][5][6][7][8]. Recent research trend on IM is toward vector control of single-phase IMs or unbalanced two-phase IMs [9][10][11][12][13][14][15][16][17][18][19][20][21][22]. Generally, in all proposed vector control methods for single-phase IMs, the start-up and running capacitors are disregarded and single-phase IM is considered as an asymmetric 2-phase IM.…”

“…However, decoupling vector control technique depends on variation of single-phase IM parameters. In [13][14][15][16][17][18][19][20][21][22], some methods for high performance FOC of single-phase IM or unbalanced 2-phase IM have been presented which can be listed as follows; In [13][14][15][16], speed sensorless Indirect FOC (IFOC) of 2-phase IM using Extended Kalman Filter (EKF), in [17], Model Reference Adaptive System (MRAS) observer for rotor speed estimation, in [18], sensorless FOC of single-phase IM with on line stator resistance estimation, in [19,20], two techniques for speed sensorless IFOC of unbalanced 2-phase IM based on motor model, in [21], FOC of 2-phase IM using Genetic Algorithm (GA) for speed PI controller tuning and in [22], Virtual High Frequency Injection Method (VHFIM) to determine the speed and position in IFOC of 2-phase IM have been presented. …”