Analytical approach for the identification of an optimal design space for switched reluctance machines

Roberto Rocca, Fabio Giulii Capponi, Giulio De Donato, Mohamed Rashed, Savvas Papadopoulos, Michael Galea

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)


This work presents a rigorous approach to simplify the design optimization process for Switched Reluctance Machines. First of all, the dimension of the Design Space is found to be equal to twelve, as the number of Independent Design Variables. Then, constraints and requirements in the design are represented as inequalities to determine the limit surfaces, which are nothing else than the boundaries of the Design Space. By applying constraints and requirements one by one, the paper shows how it is possible to find the Actual Design Space, which includes only feasible solutions to the design problem. A case study clearly shows how, by means of this methodology, the size of the Design Space can be decreased by orders of magnitude.

Original languageEnglish
Title of host publicationProceedings - 2018 23rd International Conference on Electrical Machines, ICEM 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages7
ISBN (Electronic)9781538624777
Publication statusPublished - 24 Oct 2018
Event23rd International Conference on Electrical Machines, ICEM 2018 - Alexandroupoli, Greece
Duration: 3 Sept 20186 Sept 2018

Publication series

NameProceedings - 2018 23rd International Conference on Electrical Machines, ICEM 2018


Conference23rd International Conference on Electrical Machines, ICEM 2018


  • Analytical Model
  • Design Space
  • Design Variables
  • Geometry Parametrization
  • Machine Design
  • Optimization
  • Reluctance Machine
  • Search Space
  • Switched Reluctance Machine

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Mechanical Engineering

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