Modified Rotor Flux Estimators for Stator-Fault-Tolerant Vector Controlled Induction Motor Drives

Abstract

This paper deals with fault-tolerant control (FTC) of an induction motor (IM) drive. An inter-turn short circuit (ITSC) of the stator windings was taken into consideration, which is one of the most common internal faults of induction machines. The sensitivity of the classic, well-known voltage and current models to the stator winding faults was analyzed. It has been shown that these classical state variable estimators are sensitive to induction motor parameter changes during stator winding failure, which results in unstable operation of the direct field-oriented control (DFOC) drive. From a safety-critical applications point of view, it is vital to guarantee stable operation of the drive even during faults of the machine. Therefore, a new FTC system has been proposed, which consists of new modified rotor flux estimators, robust to stator winding faults. A detailed description of the proposed system is presented herein, as well as the results of simulation and experimental tests. Simulation analyses were performed using MATLAB/Simulink software. Experimental tests were carried out on the experimental test bench with a dSpace DS1103 card. The proposed solution could be applied as an alternative rotor flux estimation technique for the modern FTC drive.

Simulation based testing and performance investigation of induction motor drives using matlab simulink

“…Theoretical values of I start . and T start are derived by using (11)(12)(13)(14)(15)(16) with s = 1 and are then contrasted with the results of the simulation; the comparison is presented in Table 8.…”

“…The control of a number of variables, including current, torque, and speed, is crucial for ensuring its best performance and integrity [11][12][13]. Direct field-oriented control (DFOC) [14], H-infinity method [11], sliding mode control [15], non-vector control [16], resonant control [17], fieldoriented control(FOC) [13], and model predictive control (MPC) [18] are just a few of the control methods that have been used to regulate a number of IM parameters. The study on adaptive fuzzy based model predictive torque control for IM ripple attenuation [19], for example, demonstrates how well accepted MPC are.…”

“…Sensorless control technology has lately achieved significant advancements in the control of IM with the development of the quadrature model reference adaptive system (Q-MRAS), upgraded (Q-MRAS), and neural network for the management of instantaneous reactive power, speed, and torque [22][23][24]. Like all systems, IMs are prone to faults; however, techniques for fault-tolerant control of IMs have been developed using a variety of methods, including modified rotor flux estimators [14], virtual current sensor (VCS), wavelet index based boosted model reference adaptive system (BMRAS) [24] and CB-MRAS [25]. The work of [26]created an automated fault-tolerant control (AFTC) mechanism by using the built-in fault tolerance and self-derating approach.…”

Inter-turn Short Circuit Diagnosis Using New D-Q Synchronous Min–Max Coordinate System and Linear Discriminant Analysis

“…Among these types of failures, stator failure can lead to critical failures, which are the focus of diagnosis [3]. In particular, quick detection of inter-turn short circuit (ITSC) is the main research objective [4][5][6][7].…”

Linear Method for Diagnosis of Inter-Turn Short Circuits in 3-Phase Induction Motors

“…Therefore, early diagnosis is urgently needed because the detection of inter-turn short circuits (ITSCs) can prevent sequential damage of the motor, minimize motor stop time, and the need for additional manpower and repair cost, thus avoiding considerable economic loss [8][9][10]. In the past, detection methods using vibration and noise sensors were applied, but the sensors are expensive and additional circuits need to be designed and attached to the equipment.…”