Vector control for loss minimization of induction motor using GA-PSO

Dong Hwa Kim*, Kaoro Hirota

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)

Abstract

This paper deals with the GA-PSO (genetic algorithm-particle swarm optimization) based vector control for loss minimization operation of induction motor. It is estimated that more than around 50% of the world electric energy generated is consumed by electric machines such as induction motor, dc motor. So, improving efficiency in electric drives is important and control strategy for minimum energy loss is needed as one of optimal operation strategies. The vector control of induction motor has been widely used to operate in a wide speed range by using flux weakening at rated speed. However, it is still necessary to advance because of coupling is behavior between fluxes in motor. In this paper, vector control approach is suggested for an optimal operation of induction motor using variable acceleration and GA-PSO tuning method through simulation. We can obtain satisfactory results for energy saving control.

Original languageEnglish
Pages (from-to)1692-1702
Number of pages11
JournalApplied Soft Computing
Volume8
Issue number4
DOIs
Publication statusPublished - Sept 2008
Externally publishedYes

Keywords

  • Genetic algorithm
  • Hybrid intelligent system
  • Induction machines
  • Particle swarm optimization
  • Vector control

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