Open AccessRapid multi‐objective design optimisation of switched reluctance motors exploiting magnetic flux tubes
Author(s) -
Stuikys Aleksas,
Sykulski Jan
Publication year - 2018
Publication title -
iet science, measurement and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 49
eISSN - 1751-8830
pISSN - 1751-8822
DOI - 10.1049/iet-smt.2017.0213
Subject(s) - switched reluctance motor , finite element method , magnetic reluctance , reluctance motor , magnetic flux , process (computing) , computer science , control engineering , control theory (sociology) , engineering design process , engineering , mechanical engineering , magnet , magnetic field , physics , structural engineering , artificial intelligence , control (management) , quantum mechanics , rotor (electric) , operating system
The magnetic design of switched reluctance (SR) motors is inherently a hierarchical process. The design cycle progresses through distinct stages where the accuracy improves but computing times increase greatly, thus it often becomes impractical to furnish extensive multi‐objective optimisation required to accomplish the optimal design. In order to enable rapid and accurate optimisation of SR motors, an improved reduced‐order computational method of flux tubes is implemented to complement and practically replace the time‐consuming 2D finite‐element‐based magnetic analysis. This study demonstrates how the use of the improved flux tubes approach to evaluate objective functions results in substantially faster while still accurate multi‐objective optimisation of SR motors.