Nonintrusive Efficiency Estimation of Induction Motors Using an Optimized EKF

Hong-xia Yu (), Chuang Li, Yan-hong Wang and Li Chen
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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

A chapter in Proceedings of 2013 4th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2013), 2014, pp 97-109 from Springer

Abstract: 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.

Keywords: Efficiency estimation; Extended Kalman filter; Induction motor; Nonintrusive; PSO (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-40060-5_10

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DOI: 10.1007/978-3-642-40060-5_10

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