A Parallel Multiobjective Efficient Global Optimization: The Finite Element Method in Optimal Design and Model Development

Berbecea, Alexandru; Kreuawan, Sangkla; Gillon, F.; Brochet, P.

doi:10.1109/tmag.2010.2043654

Cited by 16 publications

(10 citation statements)

References 6 publications

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“…where s j min and s j max are the lower and upper limits of each variable s j , respectively. An optimum design is focused on the rotor structure construction and is aimed at improving the motor performance [21][22][23][24]. The functional parameters taken into account during the optimization process are: (a) motor efficiency, (b) power factor and (c) starting capability.…”

Section: Formulation Of the Design Problemmentioning

confidence: 99%

Optimization of Low-Power Line-Start PM Motor Using Gray Wolf Metaheuristic Algorithm

Knypiński

Pawełoszek

Menach³

2020

Energies

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The paper presents the optimization method and computer software for the design of a low-power line-start permanent magnet synchronous motor (LSPMSM). The in-house-developed computer software was created with two independent modules: (a) the optimization procedure and (b) the numerical model of the motor. The optimization procedure used was a metaheuristic optimization method based on the gray wolf algorithm. Four design variables linked to the rotor structure were selected. The optimization process was performed from the rotor of a low-power induction motor (IM). The prototype of the motor (LSPMSM) was then built. The experimental measurements were performed for base the IM and optimized LSPMSM. The results of the measurements were compared for both motors. The experimental results confirmed the better performance of the designed motor in comparison to the induction motor.

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Section: Formulation Of the Design Problemmentioning

confidence: 99%

Optimization of Low-Power Line-Start PM Motor Using Gray Wolf Metaheuristic Algorithm

Knypiński

Pawełoszek

Menach³

2020

Energies

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“…The computational flow diagram of the EGO algorithm can be found in [42], and it is described in eight steps as follows:…”

Section: Optimization Tool-egomentioning

confidence: 99%

“…It was thus necessary to adopt modeling based on the Finite Element Method (FEM) instead of an analytical approach. In order to be able to achieve the optimization process in an acceptable time duration, a surrogate-assisted algorithm [41], called Efficient Global Optimization (EGO) [42], has been used. This method is briefly described in Section 4.3.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Optimized Control Strategies of a High-Speed Traction Machine with Five Phases and Bi-Harmonic Electromotive Force

et al. 2016

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Abstract:The purpose of the paper is to present the potentialities in terms of the control of a new kind of PM synchronous machine. With five phases and electromotive forces whose first (E 1 ) and third (E 3 ) harmonics are of similar amplitude, the studied machine, so-called bi-harmonic, has properties that are interesting for traction machine payload. With three-phase machines, supplied by a mono-harmonic sinusoidal current, the weak number of freedom degrees limits the strategy of control for traction machines especially when voltage saturation occurs at high speeds. As the torque is managed for three-phase machines by a current with only one harmonic, flux weakening is necessary to increase speed when the voltage limitation is reached. The studied five-phase machine, thanks to the increase in the number of freedom degrees for control, aims to alleviate this fact. In this paper, three optimized control strategies are compared in terms of efficiency and associated torque/speed characteristics. These strategies take into account numerous constraints either from the supply (with limited voltage) or from the machine (with limited current densities and maximum acceptable copper, iron and permanent magnet losses). The obtained results prove the wide potentialities of such a kind of five-phase bi-harmonic machine in terms of control under constraints. It is thus shown that the classical Maximum Torque Per Ampere (MTPA) strategy developed for the three-phase machine is clearly not satisfying on the whole range of speed because of the presence of iron losses whose values can no more be neglected at high speeds. Two other strategies have been then proposed to be able to manage the compromises, at high speeds, between the high values of torque and efficiency under the constraints of admissible total losses either in the rotor or in the stator.

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“…The computational flow diagram of the EGO algorithm can be found in Berbecea et al (2010), and it is described in eight steps as follows:…”

Section: Egomentioning

confidence: 99%

“…However, due to the inaccuracy of the surrogate model, the solution found is not always enough accurate. The EGO algorithm, one of surrogate-assisted algorithms, has been used successfully in the field of electromagnetic design optimization (Gong et al, 2011; 880 COMPEL 33,3 Berbecea et al, 2010). It uses the FEM in conjunction with a progressively built surrogate model whose accuracy increases with the search for optimal design (Schonlau et al, 1998).…”

Section: Introductionmentioning

confidence: 99%

High-speed functionality optimization of five-phase PM machine using third harmonic current

Gong

Aslan

Gillon³

et al. 2014

COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

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Purpose -The purpose of this paper is to apply some surrogate-assisted optimization techniques in order to improve the performances of a five-phase permanent magnet machine in the context of a complex model requiring computation time. Design/methodology/approach -An optimal control of four independent currents is proposed in order to minimize the total losses with the respect of functioning constraints. Moreover, some geometrical parameters are added to the optimization process allowing a co-design between control and dimensioning. Findings -The optimization results prove the remarkable effect of using the freedom degree offered by a five-phase structure on iron and magnets losses. The performances of the five-phase machine with concentrated windings are notably improved at high speed (16,000 rpm). Originality/value -The effectiveness of the method allows solving the challenge which consists in taking into account inside the control strategy the eddy-current losses in magnets and iron. In fact, magnet losses are a critical point to protect the machine from demagnetization in flux-weakening region.

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A Parallel Multiobjective Efficient Global Optimization: The Finite Element Method in Optimal Design and Model Development

Cited by 16 publications

References 6 publications

Optimization of Low-Power Line-Start PM Motor Using Gray Wolf Metaheuristic Algorithm

Optimization of Low-Power Line-Start PM Motor Using Gray Wolf Metaheuristic Algorithm

Comparison of Optimized Control Strategies of a High-Speed Traction Machine with Five Phases and Bi-Harmonic Electromotive Force

High-speed functionality optimization of five-phase PM machine using third harmonic current

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