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Optimal electromagnetic design of a nonsalient magnetic-cored superconducting synchronous machine using genetic algorithm

Elhaminia, P ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1109/TASC.2014.2360874
  3. Abstract:
  4. An optimum electromagnetic design of a nonsalient magnetic-cored superconducting synchronous machine (SSM) is presented in this paper. First, self- and mutual inductances of a nonsalient magnetic-cored SSM are calculated using the magnetic energy method and analytical equations of magnetic vector potential. Then, a design approach for an SSM machine is proposed based on the inductances of the machine. An optimal design is finally performed using a genetic algorithm, considering the machine efficiency as an objective function. The finite-element method is utilized in each step to verify the analytical results
  5. Keywords:
  6. Genetic algorithm and finite element method ; Mutual inductance ; Non-salient magnetic-cored ; Self-inductance ; Superconducting synchronous machine (SSM) ; Algorithms ; Design ; Electromagnets ; Finite element method ; Genetic algorithms ; Inductance ; Synchronous machinery ; Analytical equations ; Electromagnetic designs ; Magnetic vector potentials ; Objective functions ; Optimum electromagnetic designs ; Superconducting synchronous machines ; Electric machine theory
  7. Source: IEEE Transactions on Applied Superconductivity ; Volume 25, Issue 1 , 2014 ; 10518223 (ISSN)
  8. URL: http://ieeexplore.ieee.org/document/6913508/?arnumber=6913508