Repository logo
Communities & Collections
Research Outputs
Fundings & Projects
People
Statistics
User Manual
Have you forgotten your password?
  1. Home
  2. Faculty of Electrical Engineering and Information Technologies
  3. Faculty of Electrical Engineering and Information Technologies: Conference Papers
  4. Optimal Design of a Novel Single Phase PM BLDC Motor Using Genetic Algorithm
Details

Optimal Design of a Novel Single Phase PM BLDC Motor Using Genetic Algorithm

Date Issued
2012-09
Author(s)
Cvetkovski, G.
Lefley, P.
Petkovska, L.
Ahmed, S.
DOI
10.1109/epepemc.2012.6397227
Abstract
In the past few years Genetic Algorithms (GAs) have proved to be a very powerful and reliable optimisation tool. They have also been successfully applied in the design optimisation of many electromagnetic devices. Therefore, in this paper the optimal design performed on the single phase permanent magnet brushless DC motor (SPBLDCM) is done by using a Genetic Algorithm. The objective function of the optimisation search is selected to be the efficiency of the motor and the design process is defined as a maximisation problem. Based on the values of some specific motor parameters, a comparative analysis of the improved motor and the initial motor design is performed. As an addition to the comparative analysis, a Finite Element Method modeling and analysis of both models is also performed.
Subjects

Finite element method...

⠀

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify