Journal of Power Electronics

  • 제11권6호
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  • Pages.856-863
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  • 2011
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  • 1598-2092(pISSN)
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  • 2093-4718(eISSN)
전력전자학회 (The Korean Institute of Power Electronics)
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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)
  • 투고 : 2010.08.18
  • 발행 : 2011.11.20
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초록

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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참고문헌

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피인용 문헌

  1. Experimental and numerical comparison between the output voltages of two novel switched reluctance generators vol.31, pp.2, 2012, https://doi.org/10.1108/03321641211200509
  2. Comprehensive Detection of Eccentricity Fault in Switched Reluctance Machines Using High-Frequency Pulse Injection vol.28, pp.3, 2013, https://doi.org/10.1109/TPEL.2012.2205947
  3. Particle swarm and Box׳s complex optimization methods to design linear tubular switched reluctance generators for wave energy conversion vol.28, 2016, https://doi.org/10.1016/j.swevo.2015.12.003
  4. Magnetic Modeling, Prototyping, and Comparative Study of a Quintuple-Set Switched Reluctance Motor vol.51, pp.8, 2015, https://doi.org/10.1109/TMAG.2015.2418257
  5. Static, Dynamic, and Mixed Eccentricity Faults Diagnosis in Switched Reluctance Motors Using Transient Finite Element Method and Experiments vol.48, pp.8, 2012, https://doi.org/10.1109/TMAG.2012.2191619
  6. Sensorless Method for Eccentricity Fault Monitoring and Diagnosis in Switched Reluctance Machines Based on Stator Voltage Signature vol.49, pp.2, 2013, https://doi.org/10.1109/TMAG.2012.2213606
  7. ANALYTICAL DESIGN AND FEM VERIFICATION OF A NOVEL THREE-PHASE SEVEN LAYERS SWITCHED RELUCTANCE MOTOR vol.140, 2013, https://doi.org/10.2528/PIER13040705