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

(2012) ENGINEERING WITH COMPUTERS. 28(2). p.199-207
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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.
Keywords
Switched reluctance motor, IBCN, Optimal design, Geometrical optimization, Finite elements, Kriging, Surrogate models, CIRCUIT, SPACE-MAPPING OPTIMIZATION, FRAMEWORK, ALGORITHMS, LINEAR-ACTUATOR DESIGN

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Chicago
Crevecoeur, Guillaume, Ahmed Mohamed Abouelyazied Abdallh, Ivo Couckuyt, Luc Dupré, and Tom Dhaene. 2012. “Two-level Refined Direct Optimization Scheme Using Intermediate Surrogate Models for Electromagnetic Optimization of a Switched Reluctance Motor.” Engineering with Computers 28 (2): 199–207.
APA
Crevecoeur, G., Mohamed Abouelyazied Abdallh, A., Couckuyt, I., Dupré, L., & Dhaene, T. (2012). Two-level refined direct optimization scheme using intermediate surrogate models for electromagnetic optimization of a switched reluctance motor. ENGINEERING WITH COMPUTERS, 28(2), 199–207.
Vancouver
1.
Crevecoeur G, Mohamed Abouelyazied Abdallh A, Couckuyt I, Dupré L, Dhaene T. Two-level refined direct optimization scheme using intermediate surrogate models for electromagnetic optimization of a switched reluctance motor. ENGINEERING WITH COMPUTERS. 2012;28(2):199–207.
MLA
Crevecoeur, Guillaume, Ahmed Mohamed Abouelyazied Abdallh, Ivo Couckuyt, et al. “Two-level Refined Direct Optimization Scheme Using Intermediate Surrogate Models for Electromagnetic Optimization of a Switched Reluctance Motor.” ENGINEERING WITH COMPUTERS 28.2 (2012): 199–207. Print.
@article{1897743,
  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.},
  author       = {Crevecoeur, Guillaume and Mohamed Abouelyazied Abdallh, Ahmed and Couckuyt, Ivo and Dupré, Luc and Dhaene, Tom},
  issn         = {0177-0667},
  journal      = {ENGINEERING WITH COMPUTERS},
  keywords     = {Switched reluctance motor,IBCN,Optimal design,Geometrical optimization,Finite elements,Kriging,Surrogate models,CIRCUIT,SPACE-MAPPING OPTIMIZATION,FRAMEWORK,ALGORITHMS,LINEAR-ACTUATOR DESIGN},
  language     = {eng},
  number       = {2},
  pages        = {199--207},
  title        = {Two-level refined direct optimization scheme using intermediate surrogate models for electromagnetic optimization of a switched reluctance motor},
  url          = {http://dx.doi.org/10.1007/s00366-011-0239-5},
  volume       = {28},
  year         = {2012},
}

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