基于模型参考自适应的异步电机效率在线预测

IF 0.2 Q4 AREA STUDIES
Guisheng Wang, Wei Li, Qingbo Sheng, Lu Fan, Xiaohan Zhang
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引用次数: 0

摘要

感应电机及其系统的用电量是工业用电量的主力军,具有很大的节能潜力,对节能减排具有重要意义。为了对电机系统进行科学合理的节能改造,必须对电机系统的运行效率进行实时在线估计。针对以往电机效率检测方法的局限性,本文提出了一种无干预电机效率检测方法。该方法基于改进的转子磁链模型参考自适应法(MRAS)和定子磁链法在线计算电机的转速和转矩,进而得到电机的输出功率。仿真和实验结果表明,该方法可以有效地估计电机效率,并且估计的效率与突然负载下电机的实际效率有很好的跟踪性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Online Efficiency Prediction of Induction Motor using Model Reference Adaptvie Method
The power consumption of induction motor and its system is the main force of industrial power consumption, which has great energy-saving potential, and it is of great significance for energy saving and emission reduction. In order carry out scientific and reasonable energy-saving transformation of the motor system, the operation efficiency of the motor system must be estimated in real time and online. In view of the limitations of the previous motor efficiency detection, this paper proposes a non-intervention motor efficiency detection method. This method calculates the speed and torque of the motor on-line based on the improved rotor flux model reference adaptive method (MRAS) and stator flux method, and then obtains the output power of the motor. The simulation and experiment results show that the proposed method can effectively estimate the motor efficiency, and the estimated efficiency has a good follow-up to the actual efficiency of the motor under sudden load.
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CiteScore
1.20
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