Otimização por Enxame de Partículas Aplicada ao Projeto de uma SMPMSM

  • Eduardo M. C. S. de Oliveira Departamento de Engenharia Elétrica e de Computação, Escola de Engenharia de São Carlos Avenida Trabalhador São-carlense, 400, CEP 13566-590 São Carlos, SP
  • Stefan T. C. A. dos Santos Departamento de Engenharia Elétrica e de Computação, Escola de Engenharia de São Carlos Avenida Trabalhador São-carlense, 400, CEP 13566-590 São Carlos, SP
  • Allan G. de Castro Departamento de Engenharia Elétrica e de Computação, Escola de Engenharia de São Carlos Avenida Trabalhador São-carlense, 400, CEP 13566-590 São Carlos, SP
  • Geyverson T. de Paula Universidade Federal de Goiás - EMC - Engenharia Elétrica Av. Universitária, nº 1488, Quadra 86, Bloco A – 3º Piso CEP: 74605-010 – Setor Leste Universitário – Goiânia - GO
  • Jose R. B. de Almeida Monteiro Departamento de Engenharia Elétrica e de Computação, Escola de Engenharia de São Carlos Avenida Trabalhador São-carlense, 400, CEP 13566-590 São Carlos, SP
Keywords: Surface-Mounted Permanent Magnet Synchronous Machine, Particle Swarm Optimization, Finite-Element Analysis

Abstract

This work aims to optimize the design of a Surface-Mounted Permanent Magnet Synchronous Machine and uses a single-objective algorithm where a composite objective function has been applied. The particle swarm algorithm was used in the optimization process, where a Finite-Element Analysis (FEA) software was also adopted to perform electromagnetic analysis in the development of the algorithm. Among the possibilities of design variables in the adopted machine, the magnet thickness, polar pitch and slot width ratio (which alters the slot proportionally) were considered. As a final objective, a cost function was developed, which must be minimized and is composed of optimization objectives. The optimization objectives are torque ripple and power density. Next, the results found are presented, where it was possible to obtain a reduction of 81.3% in torque ripple and an increase of 12.5% in power density.
Published
2022-10-19
Section
Articles