Identification of Induction Motor Parameters Using Auto Self-Commissioning Methods

被引:0
|
作者
Mizani, Amirreza [1 ]
Changizian, Mahmudreza [2 ]
Gao, Hang [1 ]
机构
[1] Washinton State Univ, Sch Engn & Comp Sci VECS, Vancouver, WA 99163 USA
[2] Univ Isfahan, Dept Railway Engn & Transportat Planning, Esfahan, Iran
来源
2024 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO, ITEC 2024 | 2024年
关键词
Induction motor; parameter Estimation; self-commissioning; stand still; stator resistance; rotor time constant; magnetizing inductance; MAGNETIZING CURVE IDENTIFICATION; STANDSTILL;
D O I
10.1109/ITEC60657.2024.10599029
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper focuses on the parameter estimation of induction motors. It introduces a new approach for stator resistance identification, which is practical for industry applications such as electrical railway transportation systems. Furthermore, the total leakage inductance and the rotor side resistance are identified by a single test with high accuracy, without the need for AC injection and phase angle detection. The proposed method is simpler compared to other methods, also benefiting from lower computational requirements. Finally, the magnetizing inductance is estimated using a novel approach with a PR controller. Since there is no need to measure the phase difference between voltage and current, the accuracy of the introduced method is high.
引用
收藏
页数:6
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