Optimal Design of Switched Reluctance Motor Using PSO Based FEM-EMC Modeling
This paper aims to optimize the design of a prototype of a 6/4 Switched Reluctance Motor (SRM) using the Particle Swarm Optimization (PSO) algorithm. The geometrical parameters to optimize are the widths of the stator and rotor teeth due to their significant effects on the prototype design and the p...
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| Published in | International journal of electrical and computer engineering (Malacca, Malacca) Vol. 5; no. 5; p. 887 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Yogyakarta
IAES Institute of Advanced Engineering and Science
01.10.2015
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| Online Access | Get full text |
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| Abstract | This paper aims to optimize the design of a prototype of a 6/4 Switched Reluctance Motor (SRM) using the Particle Swarm Optimization (PSO) algorithm. The geometrical parameters to optimize are the widths of the stator and rotor teeth due to their significant effects on the prototype design and the performances in terms of increased average torque and reduced torque ripple. The studied 3kW SRM is modeled using a numerical-analytical approach based on a coupled Finite Element Method with Equivalent Magnetic Circuit (FEM-EMC). The simulations are performed under MATLAB environment with user-friendly software. The optimal results found are discussed, compared against those obtained by the Genetic Algorithms (GA) and showed a significant improvement in average torque. |
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| AbstractList | This paper aims to optimize the design of a prototype of a 6/4 Switched Reluctance Motor (SRM) using the Particle Swarm Optimization (PSO) algorithm. The geometrical parameters to optimize are the widths of the stator and rotor teeth due to their significant effects on the prototype design and the performances in terms of increased average torque and reduced torque ripple. The studied 3kW SRM is modeled using a numerical-analytical approach based on a coupled Finite Element Method with Equivalent Magnetic Circuit (FEM-EMC). The simulations are performed under MATLAB environment with user-friendly software. The optimal results found are discussed, compared against those obtained by the Genetic Algorithms (GA) and showed a significant improvement in average torque. |
| Author | Amar, Bentounsi Sihem, Mouellef Hocine, Benalla |
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| Copyright | Copyright IAES Institute of Advanced Engineering and Science Oct 2015 |
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| DOI | 10.11591/ijece.v5i5.pp887-895 |
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| Snippet | This paper aims to optimize the design of a prototype of a 6/4 Switched Reluctance Motor (SRM) using the Particle Swarm Optimization (PSO) algorithm. The... |
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| Title | Optimal Design of Switched Reluctance Motor Using PSO Based FEM-EMC Modeling |
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