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

doi:10.1109/ICELMACH.2018.8507017

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

Department of Mechanical, Materials and Manufacturing Engineering

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

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 language	English
Title of host publication	Proceedings - 2018 23rd International Conference on Electrical Machines, ICEM 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	569-575
Number of pages	7
ISBN (Electronic)	9781538624777
DOIs	https://doi.org/10.1109/ICELMACH.2018.8507017
Publication status	Published - 24 Oct 2018
Event	23rd International Conference on Electrical Machines, ICEM 2018 - Alexandroupoli, Greece Duration: 3 Sept 2018 → 6 Sept 2018

Publication series

Name	Proceedings - 2018 23rd International Conference on Electrical Machines, ICEM 2018

Conference

Conference	23rd International Conference on Electrical Machines, ICEM 2018
Country/Territory	Greece
City	Alexandroupoli
Period	3/09/18 → 6/09/18

Keywords

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

Access to Document

10.1109/ICELMACH.2018.8507017

Cite this

Rocca, R., Capponi, F. G., De Donato, G., Rashed, M., Papadopoulos, S., & Galea, M. (2018). Analytical approach for the identification of an optimal design space for switched reluctance machines. In Proceedings - 2018 23rd International Conference on Electrical Machines, ICEM 2018 (pp. 569-575). Article 8507017 (Proceedings - 2018 23rd International Conference on Electrical Machines, ICEM 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICELMACH.2018.8507017

Rocca, Roberto ; Capponi, Fabio Giulii ; De Donato, Giulio et al. / Analytical approach for the identification of an optimal design space for switched reluctance machines. Proceedings - 2018 23rd International Conference on Electrical Machines, ICEM 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 569-575 (Proceedings - 2018 23rd International Conference on Electrical Machines, ICEM 2018).

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title = "Analytical approach for the identification of an optimal design space for switched reluctance machines",

abstract = "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.",

keywords = "Analytical Model, Design Space, Design Variables, Geometry Parametrization, Machine Design, Optimization, Reluctance Machine, Search Space, Switched Reluctance Machine",

author = "Roberto Rocca and Capponi, {Fabio Giulii} and {De Donato}, Giulio and Mohamed Rashed and Savvas Papadopoulos and Michael Galea",

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doi = "10.1109/ICELMACH.2018.8507017",

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Rocca, R, Capponi, FG, De Donato, G, Rashed, M, Papadopoulos, S & Galea, M 2018, Analytical approach for the identification of an optimal design space for switched reluctance machines. in Proceedings - 2018 23rd International Conference on Electrical Machines, ICEM 2018., 8507017, Proceedings - 2018 23rd International Conference on Electrical Machines, ICEM 2018, Institute of Electrical and Electronics Engineers Inc., pp. 569-575, 23rd International Conference on Electrical Machines, ICEM 2018, Alexandroupoli, Greece, 3/09/18. https://doi.org/10.1109/ICELMACH.2018.8507017

Analytical approach for the identification of an optimal design space for switched reluctance machines. / Rocca, Roberto; Capponi, Fabio Giulii; De Donato, Giulio et al.
Proceedings - 2018 23rd International Conference on Electrical Machines, ICEM 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 569-575 8507017 (Proceedings - 2018 23rd International Conference on Electrical Machines, ICEM 2018).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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AU - Capponi, Fabio Giulii

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AU - Papadopoulos, Savvas

AU - Galea, Michael

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AB - 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.

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KW - Geometry Parametrization

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Rocca R, Capponi FG, De Donato G, Rashed M, Papadopoulos S, Galea M. Analytical approach for the identification of an optimal design space for switched reluctance machines. In Proceedings - 2018 23rd International Conference on Electrical Machines, ICEM 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 569-575. 8507017. (Proceedings - 2018 23rd International Conference on Electrical Machines, ICEM 2018). doi: 10.1109/ICELMACH.2018.8507017

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

Abstract

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Keywords

ASJC Scopus subject areas

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