Combinatorial and multi-level optimizations of a safety isolating transformer

Tran, Trung-Viet; Brisset, S.; Brochet, P.

doi:10.3233/jae-2007-909

Cited by 11 publications

(11 citation statements)

References 6 publications

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“…However, when using a class of coarse models that are numerically built and that approximate relatively accurate the fine model or the system under study, the ratio s will be very low and because of their relatively good quality, they will lead to a better convergence in the RDO scheme rather than in ASM. This can qualitatively be concluded by comparing the time equations associated with the acceleration A 1 , see (2) in the ASM, and acceleration A 2 , see (11) in the RDO. It is difficult to provide a quantitative comparison since the time equations depend on some constants (i.e.…”

Section: Rdo Scheme For the Optimal Design Of A Srmmentioning

confidence: 97%

“…Indeed, these two-level optimization methods were successfully applied onto different electromagnetic devices. For example, the space mapping technique was applied onto the efficient optimal design of electromagnetic actuators [8,9], optimal design of a SRM [10], a transformer [11] etc. In [8][9][10], the used coarse models were mostly analytical models, i.e.…”

Section: Introductionmentioning

confidence: 99%

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Two-level refined direct optimization scheme using intermediate surrogate models for electromagnetic optimization of a switched reluctance motor

Crevecoeur

Abdallh

Couckuyt

et al. 2011

Engineering with Computers

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Electromagnetic optimization procedures require a large number of evaluations in numerical forward models. These computer models simulate complex problems through the use of numerical techniques, e.g. finite elements. Hence, the evaluations need a large computational time. Two-level methods such as space mapping have been developed that include a second model so as to accelerate the inverse procedures. Contrary to existing two-level methods, we propose a scheme that enables acceleration when the second model is based on the initial numerical model with coarse discretizations. This paper validates the proposed refined direct optimization method onto algebraic test functions. Moreover, we applied the methodology onto the geometrical optimization of the magnetic circuit of a switched reluctance motor. The obtained numerical results show the efficiency of the optimization algorithm with respect to the computational time and the accuracy

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Section: Rdo Scheme For the Optimal Design Of A Srmmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Two-level refined direct optimization scheme using intermediate surrogate models for electromagnetic optimization of a switched reluctance motor

Crevecoeur

Abdallh

Couckuyt

et al. 2011

Engineering with Computers

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“…Optimal design of the safety isolation transformer is a complex problem, which requires accounting for different physical phenomena. The transformer can be represented by an analytical model [1]. Usually, analytical models can be solved within fast number evaluations and with acceptable level of accuracy.…”

Section: Introductionmentioning

confidence: 99%

Safety Isolating Transformer Design using HyDE-DF algorithm

Soares

Lezama

Vale

et al. 2020

2020 IEEE Congress on Evolutionary Computation (CEC)

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“…The paper presents the multidisciplinary optimal design of a single-phase low-voltage safety isolation transformer, introduced as benchmark problem in Tran et al (2007a). The transformer is represented through an analytical modeling (Tran et al, 2007b), benefiting from a fast evaluation and with a fair accuracy. The analytical model of the transformer represents in fact a coupling between three disciplinary models: two electromagnetic models (full-load (EMM L ), respectively, no-load (EMM 0 )) and a thermal model (THM).…”

Section: Introductionmentioning

confidence: 99%

Multi-level design of an isolation transformer using collaborative optimization

Berbecea

Gillon

Brochet

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 present an application of a multidisciplinary multi-level design optimization methodology for the optimal design of a complex device from the field of electrical engineering throughout discipline-based decomposition. The considered benchmark is a single-phase low voltage safety isolation transformer. Design/methodology/approach -The multidisciplinary optimization of a safety isolation transformer is addressed within this paper. The bi-level collaborative optimization (CO) strategy is employed to coordinate the optimization of the different disciplinary analytical models of the transformer (no-load and full-load electromagnetic models and thermal model). The results represent the joint decision of the three distinct disciplinary optimizers involved in the design process, under the coordination of the CO's master optimizer. In order to validate the proposed approach, the results are compared to those obtained using a classical single-level optimization method -sequential quadratic programming -carried out using a multidisciplinary feasible formulation for handling the evaluation of the coupling model of the transformer. Findings -Results show a good convergence of the CO process with the analytical modeling of the transformer, with a reduced number of coordination iterations. However, a relatively important number of disciplinary models evaluations were required by the local optimizers. Originality/value -The CO multi-level methodology represents a new approach in the field of electrical engineering. The advantage of this approach consists in that it integrates decisions from different teams of specialists within the optimal design process of complex systems and all exchanges are managed within a unique coordination process.

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Combinatorial and multi-level optimizations of a safety isolating transformer

Cited by 11 publications

References 6 publications

Two-level refined direct optimization scheme using intermediate surrogate models for electromagnetic optimization of a switched reluctance motor

Two-level refined direct optimization scheme using intermediate surrogate models for electromagnetic optimization of a switched reluctance motor

Safety Isolating Transformer Design using HyDE-DF algorithm

Multi-level design of an isolation transformer using collaborative optimization

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