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Optimal Design of Inverse Electromagnetic Problems with Uncertain Design Parameters Assisted by Reliability and Design Sensitivity Analysis |
Journal of Magnetics, Volume 19, Number 3, 30 Sep 2014, Pages 266-272 |
Ziyan Ren (School of Electrical Engineering, Shenyang University of Technology), Doojong Um (College of Electrical and Computer Engineering, Chungbuk National University), Chang-Seop Koh * (College of Electrical and Computer Engineering, Chungbuk National University) |
Abstract |
In this paper, we suggest reliability as a metric to evaluate the robustness of a design for the optimal design of electromagnetic devices, with respect to constraints under the uncertainties in design variables. For fast numerical efficiency, we applied the sensitivity-assisted Monte Carlo simulation (S-MCS) method to perform reliability calculation. Furthermore, we incorporated the S-MCS with single-objective and multi-objective particle swarm optimization algorithms to achieve reliability-based optimal designs, undertaking probabilistic constraint and multi-objective optimization approaches, respectively. We validated the performance of the developed optimization algorithms through application to the optimal design of a superconducting magnetic energy storage system.
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Keywords: inverse electromagnetic problem; Monte Carlo simulation; reliability evaluation; sensitivity analysis |
DOI: http://dx.doi.org/10.4283/JMAG.2014.19.3.266 |
Full Text: PDF |
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