Fault Analysis and Parameter Identification of Permanent-Magnet Motors by the Finite-Element Method

Vaseghi, Babak; Takorabet, Noureddine; Meibody‐Tabar, Farid

doi:10.1109/tmag.2009.2022156

Cited by 81 publications

(44 citation statements)

References 17 publications

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“…It present a simulation package for electric circuit simulations that allows one to easily and quickly model all Power electronic components of an application. It can be used to design and model electric, electronic, control and mechanical components [9]. It has user friendly graphical interfaces making even complex models easy to define [10].…”

Section: Finite Element Model Of Induction Motormentioning

confidence: 99%

Modeling and Simulation of Induction Motor based on Finite Element Analysis

Bensalem¹,

Abdelkrim²

2016

IJPEDS

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This paper presents the development of a co-simulation platform of induction motor (IM). For the simulation, a coupled model is introduced which contains the control, the power electronics and also the induction machine. Each of these components is simulated in different software environments. So, this study provides an advanced modeling and simulation tools for IM which integrate all the components into one common simulation platform environment. In this work, the IM is created using Ansys-Maxwell based on Finite Element Analysis (FEA), whereas the power electronic converter is developed in Ansys-Simplorer and the control scheme is build in MATLABSimulink environment. Such structure can be useful for accurate design and allows coupling analysis for more realistic simulation. This platform is exploited to analyze the system models with faults caused by failures of different drive's components. Here, two studies cases are presented: the first is the effects of a faulty device of the PWM inverter, and the second case is the influence of the short circuit of two stator phases. In order to study the performance of the control drive of the IM under fault conditions, a co-simulation of the global dynamic model has been proposed to analyze the IM behavior and control drives. In this work, the co-simulation has been performed; furthermore the simulation results of scalar control allowed verifying the precision of the proposed FEM platform.

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Section: Finite Element Model Of Induction Motormentioning

confidence: 99%

Modeling and Simulation of Induction Motor based on Finite Element Analysis

Bensalem¹,

Abdelkrim²

2016

IJPEDS

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“…Assuming that a short circuit occurs in phase "a" Fig. 1, the modelling of the shorted turns fault requires the introduction of an additional differential equation associated to the shorted turn [17,18,19,20]. Thus, phase 'a' will be divided into two windings whose resistances Ra1 and Ra2 are proportional to the number of short-circuited turns.…”

Section: Classical Linear Model Of Pmsm Under Inter-turn Faultmentioning

confidence: 99%

“…The self-inductance of the faulty part of phase 'a', the mutual inductances between the faulty part and the phases 'a' and 'b' and the mutual inductance between the faulty part (coil a2) and the healthy one (coil a1) are expressed by [17] …”

Section: Classical Linear Model Of Pmsm Under Inter-turn Faultmentioning

confidence: 99%

Non‐linear circuit based model of permanent magnet synchronous machine under inter‐turn fault: a simple approach based on healthy machine data

Belguerras

Arellano-Padilla

Arumugam

et al. 2016

IET Electric Power Applications

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The paper proposes a fast dynamic mathematical model to evaluate the performances of saturated permanent magnet synchronous machines (PMSM) under stator winding's inter turn fault. The parameters of the model can be determined using only manufacturer's data of the healthy machine. Two surface mounted PMSM have been considered to investigate the validity of the proposed approach; with distributed and concentrated winding. It has been shown that the proposed model predicts the fault current with a reasonable accuracy compared to the non-linear Finite Elements analyses and to the experimental results. This model can be incorporated in a global simulation environment of power electronic of electrical device since the computation time is very short.Index Terms-Inter-turn fault, finite elements methods, dynamic models, magnetic saturation.

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“…Based on our literature review on fault diagnosis systems [25][26][27][28], should be compared to achieve the necessary detection [35].…”

Section: Short-term Reliability In Pmsmmentioning

confidence: 99%

“…In recent literature [181][182][183][184][185][186][187][188][189][190], the extraction of fault features from different signals in both induction and PM machines was typically satisfied. However, redundancy in fault detection systems by adding search coil, [188], the need for additional measurement system [186], underestimation of fault and non-sinusoidal armature flux linkage harmonics as well as the adverse effect of unbalance in the supply voltage [185], underestimation of non-stationary behavior of fault on the reference voltage as well as the poor results during transients [183], poor result during transients [190], computational complexity [184], the tuning of the lowpass filters, nonlinearities in the reference system and inherit asymmetric of drive system [187] , the need for large volume of training data [182], unsuitability for online application [189] are some of the limitations that exists in these methods.…”

Section: Inter-turn Fault Diagnosis In Pmsmmentioning

confidence: 99%

Design Optimization of Modern Machine-drive Systems for Maximum Fault Tolerant and Optimal Operation

Sarikhani¹

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Fault Analysis and Parameter Identification of Permanent-Magnet Motors by the Finite-Element Method

Cited by 81 publications

References 17 publications

Modeling and Simulation of Induction Motor based on Finite Element Analysis

Modeling and Simulation of Induction Motor based on Finite Element Analysis

Non‐linear circuit based model of permanent magnet synchronous machine under inter‐turn fault: a simple approach based on healthy machine data

Design Optimization of Modern Machine-drive Systems for Maximum Fault Tolerant and Optimal Operation

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