Online Estimation of Three-Phase Induction Motor Parameters Using an Extended Kalman Filter for Energy Saving

Sasiya Udomsuk, Kongpol Areerak (), Tidarut Areerak and Kongpan Areerak
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Sasiya Udomsuk: The National Electronics and Computer Technology Center, Pathum Thani 12120, Thailand
Kongpol Areerak: School of Electrical Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand
Tidarut Areerak: School of Mathematics, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand
Kongpan Areerak: School of Electrical Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand

Energies, 2024, vol. 17, issue 9, 1-18

Abstract: In this paper, the online estimation of three-phase induction motor parameters using an extended Kalman filter for energy saving is proposed. The optimal value of the stator current on the d -axis is calculated to obtain the minimum power loss. Accurate motor parameters are required to calculate the optimal stator current value for energy saving. Hence, to estimate motor parameters in real time, an online estimator known as the extended Kalman filter is applied. The energy consumption results for the motor using the proposed approach (estimated parameters with extended Kalman filter) are compared with those obtained using the conventional approach and energy saving (fixed parameters without parameter estimation) approach. As revealed by the comparison results from implementation in a laboratory, the proposed approach can provide minimum power losses for the three-phase induction motor drive, and the maximum energy-saving percentage is 60.18% compared with using the conventional drive approach.

Keywords: three-phase induction motor; parameter estimation; energy saving; extended Kalman filter; optimal stator current; power loss identification; indirect vector control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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