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Engineering with Computers
Erschienen in: Engineering with Computers 2/2012

01.04.2012 | Original Article

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

verfasst von: Guillaume Crevecoeur, Ahmed Abou-Elyazied Abdallh, Ivo Couckuyt, Luc Dupré, Tom Dhaene

Erschienen in: Engineering with Computers | Ausgabe 2/2012

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Abstract

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.
Vorheriger Artikel Separation of CO2 by single and mixed aqueous amine solvents in membrane contactors: fluid flow and mass transfer modeling

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Literatur
1.
Mirzaeian B, Moallem M, Tahani V, Lucas C (2002) Multiobjective optimization method based on a genetic algorithm for switched reluctance motor design. IEEE Trans Magn 38:4605–4617CrossRef
2.
Wu W, Dunlop J, Collocott S, Kalan B (2003) Design optimization of a switched reluctance motor by electromagnetic and thermal finite-element analysis. IEEE Trans Magn 39:3334–3336CrossRef
3.
Vijayakumar K, Karthikeyan R, Paramasivam S, Arumugam R, Srinivas K (2008) Switched reluctance motor modeling, design, simulation, and analysis: a comprehensive review. IEEE Trans Magn 44:4605–4617CrossRef
4.
Bandler J, Biernacki R, Chen S, Grobelny P, Hemmers H (1994) Space mapping technique for electromagnetic optimization. IEEE Trans Microw Theory Tech 42:2536–2544CrossRef
5.
Bandler J, Cheng Q, Dakroury S, Mohamed A, Bakr M, Madsen K, Søndergaard J (2004) Space mapping: state of the art. IEEE Trans Microw Theory Tech 52:337–361CrossRef
6.
Echeverría D, Lahaye D, Encica L, Lomonova E, Hemker P, Vandenput A (2006) Manifold-Mapping optimization applied to linear actuator design. IEEE Trans Magn 42:1183–1186CrossRef
7.
Crevecoeur G, Sergeant P, Dupré L, Vande Walle R (2008) Two-level response and parameter mapping optimization for magnetic shielding. IEEE Trans Magn 44:301–308CrossRef
8.
Encica L, Echeverria D, Lomonova E, Vandenput AJA, Hemker P, Lahaye D (2007) Efficient optimal design of electromagnetic actuators using space mapping. Struct Multidisc Optim 33:481–491CrossRef
9.
Encica L, Paulides J, Lomonova E (2009) Space-mapping optimization in electromechanics: an overview of algorithms and applications. Compel Int J Comp Math Electrical Electron Eng 28:1216–1226MathSciNetMATHCrossRef
10.
Crevecoeur G, Dupré L, Vande Walle R (2007) Space mapping optimization of the magnetic circuit of electrical machines including local material degradation. IEEE Trans Magn 43:2609–2611CrossRef
11.
Tran T, Brisset S, Brochet P (2007) Combinatorial and multi-level optimization of a safety isolating transformer. Int J Appl Electromagn Mech 3:201–208
12.
Echeverría D (2007) Multi-level optimization: space mapping and manifold mapping. PhD thesis, Universiteit van Amsterdam.
13.
Alexandrov N, Dennis JE, Lewis RM, Torczon V (1998) A trust region framework for managing the use of approximation models in optimization. Struct Optim 15:16–23CrossRef
14.
Booker A, Dennis JJ, Frank P, Serafini D, Torczon V, Trosset M (1999) A rigorous framework for optimization of expensive functions by surrogates. Struct Optim 17:1–13
15.
Crevecoeur G, Sergeant P, Dupré L, Vande Walle R (2010) A two-level genetic algorithm for electromagnetic optimization. IEEE Trans Magn 46:2585–2595CrossRef
16.
Gorissen D, Crombecq K, Couckuyt I, Dhaene T, Demeester P (2010) A surrogate modeling and adaptive sampling toolbox for computer based design. J Mach Learn Res 11:2051–2055
17.
Dyck D, Lowther DA, Malik Z, Spence R, Nelder J (1999) Response surface models of electromagnetic devices and their application to design. IEEE Trans Magn 34:1821–1824CrossRef
18.
Lebensztajn L, Maretto CAR, Costa L, Coulomb J-L (2004) Kriging: a useful tool for electromagnetic devices optimization. IEEE Trans Magn 40:1196–1199CrossRef
19.
Mullur A, Messac A (2006) Metamodeling using extended radial basis functions: a comparative approach. Eng Comput 21:203–217CrossRef
20.
Simpson T, Peplinski J, Koch P, Allen J (2001) Metamodels for computer-based engineering design: survey and recommendations. Eng Comput 17:129–150MATHCrossRef
21.
Simpson T, Booker A, Ghosh D, Giunta A, Koch P, Yang R (2004) Approximation methods in multidisciplinary analysis and optimization: a panel discussion. Struct Multidiscip Optim 27:302–313CrossRef
22.
Lahaye D, Canova A, Gruosso G, Repetto M (2007) Adaptive manifold-mapping using multiquadratic interpolation applied to linear actuator design. Compel Int J Comput Math Elect Electron Eng 26:225–235MATHCrossRef
23.
Karakasis MK, Giannakoglou KC (2006) On the use of metamodel-assisted, multi-objective evolutionary algorithms. Eng Optim 38:941–957MathSciNetCrossRef
24.
Couckuyt I, Declercq F, Dhaene T, Rogier H, Knockaert L (2010) Surrogate-based infill optimization applied to electromagnetic problems. Adv Design Optim Microw RF Circuits Syst 20:492–501
25.
Jones DR, Schonlau M, Welch WJ (1998) Efficient global optimization of expensive black-box functions. J Glob Optim 13:445–492MathSciNetCrossRef
26.
Shan S, Wang G (2010) Survey of modeling and optimization strategies to solve high-dimensional design problems with computationally-expensive black-box functions. Struct Multidiscip Optim 41:219–241MathSciNetCrossRef
27.
Grosso A, Jamali A, Locatelli M (2009) Finding maximin latin hypercube designs by Iterated Local Search heuristics. Eur J Oper Res 197:541–547MATHCrossRef
28.
29.
30.
Moallem M, Dawson G (1998) An improved magnetic equivalent circuit method for predicting the characteristic of highly saturated electromagnetic devices. IEEE Trans Magn 34:3632–3635CrossRef
31.
Arkadan AA, Kielagas BW (1994) Switched reluctance motor drive system dynamic performance prediction and experimental verification. IEEE Trans Energy Convers 9:36–44CrossRef
32.
Miller T (2002) Optimal design of switched reluctance motors. IEEE Trans Ind Electron 49:15–27CrossRef
33.
Abdallh AA, Dupré L (2010) Local magnetic measurements in magnetic circuits with highly non-uniform electromagnetic fields. Meas Sci Technol 21:045109CrossRef
34.
Forrester AI, Keane AJ (2009) Recent advances in surrogate-based optimization. Prog Aerospace Sci 45:50–79CrossRef
35.
Coleman TF, Li Y (1996) An interior, trust region approach for nonlinear minimization subject to bounds. SIAM J Optim 6:418–445MathSciNetMATHCrossRef
36.
Koziel S, Bandler JW, Madsen K (2008) Quality assessment of coarse models and surrogates for space mapping optimization. Optim Eng 9:375–391MathSciNetMATHCrossRef
Metadaten
Titel
Two-level refined direct optimization scheme using intermediate surrogate models for electromagnetic optimization of a switched reluctance motor
verfasst von
Guillaume Crevecoeur
Ahmed Abou-Elyazied Abdallh
Ivo Couckuyt
Luc Dupré
Tom Dhaene
Publikationsdatum
01.04.2012
Verlag
Springer-Verlag
Erschienen in
Engineering with Computers / Ausgabe 2/2012
Print ISSN: 0177-0667
Elektronische ISSN: 1435-5663
DOI
https://doi.org/10.1007/s00366-011-0239-5

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