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Optimization of magnetic sensor arrays for current measurement based on swarm intelligence and D‐optimality

  • Autores: Z. Zhang, Luca Di Rienzo
  • Localización: Compel: International journal for computation and mathematics in electrical and electronic engineering, ISSN 0332-1649, Vol. 28, Nº 5 (Special Issue: Selected Papers from OIPE 2008), 2009, págs. 1179-1190
  • Idioma: inglés
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  • Resumen
    • Purpose – The purpose of this paper is to improve the accuracy of innovative current transducers based on magnetic sensor arrays.

      Design/methodology/approach – The positions and the orientations of the magnetic sensors are optimized. The objective function is defined according to D‐optimality theory and the optimization problem solved using particle swarm optimization (PSO).

      Findings – PSO is shown to be efficient for the optimization problem and that, following the D‐optimality approach, a significant improvement in the measurement accuracy is obtained in terms of the errors typically used to classify current transducers.

      Research limitations/implications – The paper does not take into account the effects of external magnetic fields.

      Practical implications – A criterion and a methodology are suggested in order to design more accurate current transducers based on magnetic sensors.

      Originality/value – A new methodology to optimize magnetic sensor arrays for current measurement.


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