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

被引：8
|
作者：
Udomsuk, Sasiya [1 ]
Areerak, Kongpol [2 ]
Areerak, Tidarut [3 ]
Areerak, Kongpan [2 ]
机构：
[1] Natl Elect & Comp Technol Ctr, Pathum Thani 12120, Thailand
[2] Suranaree Univ Technol, Inst Engn, Sch Elect Engn, Nakhon Ratchasima 30000, Thailand
[3] Suranaree Univ Technol, Inst Sci, Sch Math, Nakhon Ratchasima 30000, Thailand
来源：
ENERGIES | 2024年 / 17卷 / 09期
关键词：
three-phase induction motor; parameter estimation; energy saving; extended Kalman filter; optimal stator current; power loss identification; indirect vector control; SPEED-SENSORLESS CONTROL; MINIMIZATION CONTROL; LOSSES;
D O I：
10.3390/en17092115
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
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.
引用
收藏
页数：17
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