Yayınlanmış 1 Ocak 2017 | Sürüm v1
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Injection Based Sensorless Performance Optimization of Surface Mounted Permanent Magnet Motor using Particle Swarm

Oluşturanlar

  • 1. Afyon Kocatepe Univ, Dept Elect & Elect Engn, Afyon, Turkey

Açıklama

This paper shows the results of an intention to design of surface mounted permanent magnet (SMPM) machines with self-sensing capabilities determining design parameters by Particle Swarm Optimization (PSO). A methodology will be presented which will look at the use of PSO to close up the torque to the highest values as possible and to maximize the self-sensing properties of such machines. A PSO environment has been combined with a finite element analysis (FEA) environment to enable the designer to account for both geometrical and saturation saliencies for an effective determination of the machine's self-sensing characteristics. The results obtained are satisfactory in terms of torque maximization and self-sensing capability. The sensitivity of the major geometrical parameters of the machine investigated, as well.

Dosyalar

bib-3094b11e-abcc-4a94-9905-33a51585cee3.txt

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