Optimal Design of Inverse Electromagnetic Problems with Uncertain Design Parameters Assisted by Reliability and Design Sensitivity Analysis

  • Ren, Ziyan (School of Electrical Engineering, Shenyang University of Technology) ;
  • Um, Doojong (College of Electrical and Computer Engineering, Chungbuk National University) ;
  • Koh, Chang-Seop (College of Electrical and Computer Engineering, Chungbuk National University)
  • Received : 2013.11.06
  • Accepted : 2014.06.11
  • Published : 2014.09.30


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.


Supported by : NRF


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