Journal of Power Electronics

The Korean Institute of Power Electronics (전력전자학회)
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Novel Method of ACO and Its Application to Rotor Position Estimation in a SRM under Normal and Faulty Conditions

  • Torkaman, Hossein (Department of Electrical Engineering, Shahid Beheshti University) ;
  • Afjei, Ebrahim (Department of Electrical Engineering, Shahid Beheshti University) ;
  • Babaee, Hossein (Department of Electrical Engineering, Babol Noshirvani University of Technology) ;
  • Yadegari, Peyman (Department of Electrical Engineering, Shahid Beheshti University)
  • Received : 2010.08.18
  • Published : 2011.11.20
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Abstract

In this paper a novel method of the Ant Colony Optimization algorithm for rotor position estimation in Switched Reluctance Motors is presented. The data provided by the initial assumptions is one of the important aspects used to solve the problems relative to an Ant Colony algorithm. Considering the nature of a real ant colony, it was found that the ants have no primary data for deducing which is the shortest path in their initial iteration. They also do not have the ability to see the food sources at a distance. According to this point of view, a novel method is presented in which the rotor pole position relative to the corresponding stator pole in a switched reluctance motor is estimated with high accuracy using the active and inactive phase parameters. This new method gives acceptable results such as a desirable convergence together with an optimized and stable response. To the best knowledge of the authors, such an analysis has not been carried out previously.

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References

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