A Novel In Situ Efficiency Estimation Algorithm for Three-Phase Induction Motors Operating With Distorted Unbalanced Voltages

被引：32
|
作者：
Al-Badri, Maher [1 ]
Pillay, Pragasen [1 ,2 ]
Angers, Pierre [3 ]
机构：
[1] Concordia Univ, Dept Elect & Comp Engn, Montreal, PQ H3G 1M8, Canada
[2] Univ Cape Town, ZA-7701 Rondebosch, South Africa
[3] Inst Rech LTEE Hydro Quebec, Lab Technol Energie, Shawinigan, PQ G9N 7N5, Canada
来源：
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS | 2017年 / 53卷 / 06期
基金：
加拿大自然科学与工程研究理事会;
关键词：
Genetic algorithm (GA); hot temperature; IEEE form F2-method F1; induction motor; nameplate; negative sequence; new stray-load loss formula; positive sequence; sensorless online speed measurement; total harmonic distortion; unbalance voltages; GENETIC ALGORITHMS; WINDING RESISTANCE; MACHINES;
D O I：
10.1109/TIA.2017.2728786
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper presents a novel algorithm for in situ efficiency estimation for induction motors operating with unbalanced distorted voltages. The proposed technique utilizes the genetic algorithm, IEEE form F2-method F1 calculations, large motor test database, and a novel stray-load loss formula. The technique is evaluated by testing three small-and medium-sized induction motors with different combinations of voltage unbalance and total harmonic distortion. The results showed acceptable accuracy. The repeatability and usability of the technique with balanced sinusoidal voltages are also validated. The technique may be used as a potential industrial tool that can help derate induction motors in the presence of voltage unbalance and harmonics.
引用
收藏
页码：5338 / 5347
页数：10
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