Induction motor windings faults detection using flux-error based MRAS estimators

Bednarz, Szymon Antoni; Dybkowski, M.

doi:10.29354/diag/109092

Cited by 15 publications

(15 citation statements)

References 42 publications

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“…R s est = K PRs ε P + K IRs ε P dt (11) where K PRs , K IRs -coefficients of the proportional and integral terms, respectively. Rotor flux components in (9) are derived from the current model estimator [1]:…”

Section: Mathematical Model Of the Pq-mras Estimatormentioning

confidence: 99%

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Estimation of the Induction Motor Stator and Rotor Resistance Using Active and Reactive Power Based Model Reference Adaptive System Estimator

Bednarz

Dybkowski

2019

Applied Sciences

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In this paper an induction motor parameters estimator, based on the Model Reference Adaptive System (MRAS), is presented and described. A comprehensive literature study on MRAS type parameters estimators for induction motors is also provided. The authors propose a novel PQ-MRAS estimator concept which enables the simultaneous calculation of stator and rotor resistances in the induction machine, which is its major advantage over previous investigations. The estimator employs the active (P) and reactive (Q) power of the machine which is calculated by the only measurable signals, such as stator voltage and current. The paper includes a detailed description of the proposed estimator. The PQ-MRAS was tested for various operating conditions of a drive system with the induction motor. The results obtained from computer simulation tests were verified on the laboratory set up with a DS1202 card.

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Section: Mathematical Model Of the Pq-mras Estimatormentioning

confidence: 99%

“…The information about motor parameters values can be used also for the condition monitoring of machines [7,8]. One of the used diagnostic methods is the assumption that the fluctuations of parameters can indicate a machine fault [9] (rotor bars rupture for squirrel-cage motors or stator windings short-circuit).…”

Section: Introductionmentioning

confidence: 99%

Estimation of the Induction Motor Stator and Rotor Resistance Using Active and Reactive Power Based Model Reference Adaptive System Estimator

Bednarz

Dybkowski

2019

Applied Sciences

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“…An emblematic comparison can be made by viewing the Figure 19(a) obtained in Ref. [34] and Figure 19(b) proposed in this paper. It clearly appears that the proposed strategy can operate in the explosive default context (higher number of short-circuit turns).…”

Section: Comparative Analysismentioning

confidence: 93%

The Detection of Inter-Turn Short Circuits in the Stator Windings of Sensorless Operating Induction Motors

Teguia¹,

Kenné²,

Kammogne³

et al. 2021

WJET

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This work proposes an alternative strategy to the use of a speed sensor in the implementation of active and reactive power based model reference adaptive system (PQ-MRAS) estimator in order to calculate the rotor and stator resistances of an induction motor (IM) and the use of these parameters for the detection of inter-turn short circuits (ITSC) faults in the stator of this motor. The rotor and stator resistance estimation part of the IM is performed by the PQ-MRAS method in which the rotor angular velocity is reconstructed from the interconnected high gain observer (IHGO). The ITSC fault detection part is done by the derivation of stator resistance estimated by the PQ-MRAS estimator. In addition to the speed sensorless detection of ITSC faults of the IM, an approach to determine the number of shorted turns based on the difference between the phase current of the healthy and faulty machine is proposed. Simulation results obtained from the MATLAB/Simulink platform have shown that the PQ-MRAS estimator using an interconnected highgain observer gives very similar results to those using the speed sensor. The estimation errors in the cases of speed variation and load torque are almost identical. Variations in stator and rotor resistances influence the performance of the observer and lead to poor estimation of the rotor resistance. The results of ITSC fault detection using IHGO are very similar to the results in the literature using the same diagnostic approach with a speed sensor.

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“…The first is the voltage model, which is based on the stator voltage (12) and current-flux (14) and 15equations of the IM [3]:…”

Section: Mathematical Models Of Rotor Flux Estimatorsmentioning

confidence: 99%

“…In general, faults can be categorized into mechanical and electrical [8][9][10][11]. Electrical faults in particular may led to changes of the parameters and model of the machine [12]. The most common electrical faults are related to stator windings.…”

Section: Introductionmentioning

confidence: 99%

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

Dybkowski

Bednarz

2019

Energies

Self Cite

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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.

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Induction motor windings faults detection using flux-error based MRAS estimators

Cited by 15 publications

References 42 publications

Estimation of the Induction Motor Stator and Rotor Resistance Using Active and Reactive Power Based Model Reference Adaptive System Estimator

Estimation of the Induction Motor Stator and Rotor Resistance Using Active and Reactive Power Based Model Reference Adaptive System Estimator

The Detection of Inter-Turn Short Circuits in the Stator Windings of Sensorless Operating Induction Motors

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

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