An ANN speed observer applied to three-phase induction motor

  • Authors:

  • Tiago Henrique dos Santos;Alessandro Goedtel;Sérgio Augusto Oliveira da Silva;Marcelo Suetake

  • Affiliations:

  • Electrical Engineering Department, Federal Technological University of Parana, Cornélio Procópio, PR, Brazil;Electrical Engineering Department, Federal Technological University of Parana, Cornélio Procópio, PR, Brazil;Electrical Engineering Department, Federal Technological University of Parana, Cornélio Procópio, PR, Brazil;Electrical Engineering Department, Federal Technological University of Parana, Cornélio Procópio, PR, Brazil

  • Venue:
  • IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
  • Year:
  • 2012

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Abstract

This work proposes an artificial neural network approach to estimate the induction motor speed applied to three-phase induction motor. The induction motor speed is the important variable in an industrial process. However, the direct measurement of speed compromises the driver system and control, besides increasing the implementation cost. The proposed strategy estimates the induction motor speed when it is driven by voltage source inverter with closed-loop scalar control. Simulation results are presented to validate the performance of the proposed method under motor load torque and speed reference point variations.