Observer-based fault diagnosis and field oriented fault tolerant control of induction motor with stator inter-turn fault

Toumi, Djilali; Boucherit, Mohamed Seghir; Tadjine, Mohamed

doi:10.2478/v10171-012-0015-1

Cited by 26 publications

(10 citation statements)

References 23 publications

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“…Let us take into consideration a linear dynamic system, described with the set of matrix equations [1,33,34]:…”

Section: Mathematical Model Of the Motormentioning

confidence: 99%

“…where R s and R r are the stator and rotor windings resistances respectively [33][34][35], L s and L r are the stator and rotor windings inductances, L m is the magnetizing inductance, ω is the angular speed of the motor and 1 2 is the 2nd order identity matrix. All quantities in (1)-(4) are dimensionless, given as per-unit (p.u.)…”

Section: Mathematical Model Of the Motormentioning

confidence: 99%

“…Equations (1)-(4) correspond to the equivalent circuit of an induction motor as presented in Figure 2. Because the angular speed ω changes much slower than the electromagnetic variables u, i and ψ, it is treated as a parameter [1,33,35,37]. Because the angular speed ω changes much slower than the electromagnetic variables u, i and ψ, it is treated as a parameter [1,33,35,37].…”

Section: Mathematical Model Of the Motormentioning

confidence: 99%

See 2 more Smart Citations

Developing Induction Motor State Observers with Increased Robustness

Białoń¹,

Pasko²,

Niestrój³

2020

Energies

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This paper presents the results of recently conducted research on Luenberger observers with non-proportional feedbacks. The observers are applied for the reconstruction of magnetic fluxes of an induction motor. Structures of the observers known from the control theory are presented. These are a proportional observer, a proportional-integral observer, a modified integral observer, and an observer with additional integrators. The practical application of some of these observers requires modifications to their structures. In the paper, the simulation results for all mentioned types of observers are presented. The simulations are performed with a Scilab-Xcos model which is attached to this paper. The problem of gains selection of the observers is discussed. Gains are selected with the described optimization method based on a genetic algorithm. A Scilab file launching the genetic algorithm also is attached to this paper.

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“…Let us take into consideration a linear dynamic system, described with the set of matrix equations [1,33,34]:…”

Section: Mathematical Model Of the Motormentioning

confidence: 99%

Section: Mathematical Model Of the Motormentioning

confidence: 99%

Section: Mathematical Model Of the Motormentioning

confidence: 99%

See 1 more Smart Citation

Developing Induction Motor State Observers with Increased Robustness

Białoń¹,

Pasko²,

Niestrój³

2020

Energies

View full text Add to dashboard Cite

show abstract

“…Nonetheless, other techniques for ITSC effect compensation in IMs have been considered in control schemes with classical (PI or hysteresis) controllers as well. In Reference [39], an extended state observer [40] was used to eliminate a decoupling between flux and torque control paths, caused by an ITSC in the FOC scheme. This method was based on the assumption that accurate estimation of the state variables of a machine during ITSCs enables precise control of the IM and ensures stable operation of the drive.…”

Section: Introductionmentioning

confidence: 99%

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

Dybkowski

Bednarz

2019

Energies

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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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“…Therefore, providing them continues and failure-free work is closely linked to the aforementioned cost minimization. The development of electronics as well as low cost of production will increase the number of induction motors which are used in industrial applications [1]. The use of semiconductor devices to control induction motors makes it easy to adjust the system and thus greatly improves its flexibility.…”

Section: Introductionmentioning

confidence: 99%

Detection of inter-turn short-circuit at start-up of induction machine based on torque analysis

Pietrowski

Górny

2017

Open Physics

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Abstract:Recently, interest in new diagnostics methods in a field of induction machines was observed. Research presented in the paper shows the diagnostics of induction machine based on torque pulsation, under inter-turn short-circuit, during start-up of a machine. In the paper three numerical techniques were used: finite element analysis, signal analysis and artificial neural networks (ANN). The elaborated numerical model of faulty machine consists of field, circuit and motion equations. Voltage excited supply allowed to determine the torque waveform during start-up. The inter-turn short-circuit was treated as a galvanic connection between two points of the stator winding. The waveforms were calculated for different amounts of shorted-turns from 0 to 55. Due to the non-stationary waveforms a wavelet packet decomposition was used to perform an analysis of the torque. The obtained results of analysis were used as input vector for ANN. The response of the neural network was the number of shorted-turns in the stator winding. Special attention was paid to compare response of general regression neural network (GRNN) and multi-layer perceptron neural network (MLP). Based on the results of the research, the efficiency of the developed algorithm can be inferred.

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Observer-based fault diagnosis and field oriented fault tolerant control of induction motor with stator inter-turn fault

Cited by 26 publications

References 23 publications

Developing Induction Motor State Observers with Increased Robustness

Developing Induction Motor State Observers with Increased Robustness

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

Detection of inter-turn short-circuit at start-up of induction machine based on torque analysis

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