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Nonintrusive Efficiency Estimation of Induction Motors Using an Optimized EKF

In: Proceedings of 2013 4th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2013)

Author

Listed:
  • Hong-xia Yu

    (Shenyang University of Technology)

  • Chuang Li

    (Shenyang University of Technology)

  • Yan-hong Wang

    (Shenyang University of Technology)

  • Li Chen

    (Shenyang University of Technology)

Abstract

In this paper, an intelligent optimal EKF (Extended Kalman Filter) algorithm was presented to overcome the defect of getting the noises covariance matrices of EKF by a trial and error method. In order to get optimal parameter of noises covariance matrices by intelligent method, an optimal model was established using the error of estimated speed and torque with measured, then solved by PSO. The efficiency was computed using the estimated speed and load torque by the optimized EKF. Experimental results demonstrated that the estimated efficiency using this method has higher estimated accuracy than EKF.

Suggested Citation

  • Hong-xia Yu & Chuang Li & Yan-hong Wang & Li Chen, 2014. "Nonintrusive Efficiency Estimation of Induction Motors Using an Optimized EKF," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), Proceedings of 2013 4th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2013), edition 127, pages 97-109, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-40060-5_10
    DOI: 10.1007/978-3-642-40060-5_10
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