Automatic generation of sizing static models based on reluctance networks for the optimization of electromagnetic devices

Peloux, Bertrand Du; Gerbaud, Laurent; Würtz, Fréderic; Leconte, Vincent; Dorschner, F.

doi:10.1109/tmag.2006.872010

Cited by 51 publications

(33 citation statements)

References 4 publications

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“…The analytical models are suggested in first steps of conception process. Indeed, the presented results in [2] and [6] show the efficiency of reluctance network model to determine the principal parameters of the actuator. However, the 3D analysis must be integrated.…”

Section: Discussionmentioning

confidence: 77%

“…Moreover, LSRM serves more advantages than other rotary electrical machines, particularly in linear industrial applications. Resulting in simpler conversion of electrical input to linear motion, the LSRM have been used in conveyor system, sliding doors, airport baggage and rope-less elevator [1][2][3][4]. These machines eliminate the need of mechanical movement transformation interfaces for rotary to linear.…”

Section: Introductionmentioning

confidence: 99%

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Analysis and comparison of end effects in linear switched reluctance and hybrid motors

Barhoumi

Abo‐Khalil

Berrouche

et al. 2017

Journal of Electrical Engineering

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This paper presents and discusses the longitudinal and transversal end effects which affects the propulsive force of linear motors. Generally, the modeling of linear machine considers the forces distortion due to the specific geometry of linear actuators. The insertion of permanent magnets on the stator allows improving the propulsive force produced by switched reluctance linear motors. Also, the inserted permanent magnets in the hybrid structure allow reducing considerably the ends effects observed in linear motors. The analysis was conducted using 2D and 3D finite elements method. The permanent magnet reinforces the flux produced by the winding and reorients it which allows modifying the impact of end effects. Presented simulations and discussions show the importance of this study to characterize the end effects in two different linear motors.K e y w o r d s: linear switched reluctance motor, hybrid motor, finite element method analysis, end effects

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Section: Discussionmentioning

confidence: 77%

Section: Introductionmentioning

confidence: 99%

Analysis and comparison of end effects in linear switched reluctance and hybrid motors

Barhoumi

Abo‐Khalil

Berrouche

et al. 2017

Journal of Electrical Engineering

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“…Scholars also developed corresponding software packages (such as PASCOMA) for optimization design of the EMD based on the analytical model of a magnetic circuit. [6][7][8][9][10] However, the MEC model usually becomes very complicated in order to get accurate results; and sometimes, it cannot establish a precise model, because of the leakage flux. In addition, the MEC also has nonlinear processing problems of ferromagnetic material.…”

Section: -4mentioning

confidence: 99%

An Approximate Calculation Model for Electromagnetic Devices Based on a User-Defined Interpolating Function

Ye¹,

Deng²,

Wang³

et al. 2014

Journal of Magnetics

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Optimization design and robust design are significant measures for improving the performance and reliability of electromagnetic devices (EMDs, specifically refer to relays, contactors in this paper). However, the implementation of the above-mentioned design requires substantial calculation; consequently, on the premise of guaranteeing precision, how to improve the calculation speed is a problem that needs to be solved. This paper proposes a new method for establishing an approximate model for the EMD. It builds a relationship between the input and output of the EMD with different coil voltages and air gaps, by using a user-defined interpolating function. The coefficient of the fitting function is determined based on a quantum particle swarm optimization (QPSO) method. The effectiveness of the method proposed in this paper is verified by the electromagnetic force calculation results of an electromagnetic relay with permanent magnet.

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“…For instance, for the Optimization Model of our PMG we use a reluctance network [8] (see Fig. 5) approach in order to compute the induction in the air gap, the stator and the rotor.…”

Section: B Type Of An Optimization Modelmentioning

confidence: 99%

“…4° and B g and B d belongs to the K-K2 output performances. This allows to calculate B g and B d thanks to a Reluctance Network approach [8] which is quite more interesting since we can introduce non linear saturation laws for materials, and by this way introduce more physical information: this more high quality of physical information, means less simplification and hypotheses, and possibility to find more fine optimums (typically here, thanks to H(B) curve introduced in the Reluctance Network, optimization will be able to find the optimal level of saturation in each ferromagnetic parts of the machine). The design is more complicated, since the parameters we want to constraints (the inductions) are outputs, but this difficulty will be managed by the optimization algorithm that will automatically manage constraints of type (2).…”

Section: Advantage Of the Optimization Model: Can Contain More Phymentioning

confidence: 99%

The concepts of sizing and optimization model: Applied to the optimal design of a Permanent Magnet Generator

Carlson

Würtz

2011

International Aegean Conference on Electrical Machines and Power Electronics and Electromotion, Joint Conference

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This paper is a methodological contribution in order to characterize two kinds of models that should be used in a complete optimization process of energy conversion systems like motors or actuators. We will indeed introduce the concept of "sizing model", and the concept of "optimization model". We will show also how to use them in a design process in order to produce optimal result that we concatenate in "an optimal design graph". All those methodological results will be illustrated on the optimal design of a Permanent Magnet Generator (PMG).

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Automatic generation of sizing static models based on reluctance networks for the optimization of electromagnetic devices

Cited by 51 publications

References 4 publications

Analysis and comparison of end effects in linear switched reluctance and hybrid motors

Analysis and comparison of end effects in linear switched reluctance and hybrid motors

An Approximate Calculation Model for Electromagnetic Devices Based on a User-Defined Interpolating Function

The concepts of sizing and optimization model: Applied to the optimal design of a Permanent Magnet Generator

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