...
首页> 外文期刊>Electric Power Applications, IET >Piecewise variable parameter model for precise analysis of iron losses in induction motors
【24h】

Piecewise variable parameter model for precise analysis of iron losses in induction motors

机译:分段变量参数模型,用于精确分析感应电动机的铁损

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

This study proposes a two-term piecewise variable parameter model for precise prediction of iron losses in induction motors. In this model, two additional flux density terms reflect the non-linear magnetisation and the harmonic fields in the motors, and the main loss parameters are piecewisely variable with the magnitude and frequency of flux density, so that higher accuracy of iron loss prediction can be achieved for a large range of flux density frequencies and magnitudes. Meanwhile, the fine analysis of the fundamental and harmonic iron losses can also be carried out with the proposed model, and the influence of the harmonic fields on the hysteresis and eddy current losses can be revealed. Experimental validations are carried out on the laminated steels, DR510 and DW470, as well as, the Y132S-4, 5.5 kW and YX3-250M-4, 55 kW induction motors whose cores are made of the above steels. The experiments on the motors are performed with the voltage supply of different magnitudes, and both the proposed model and Bertotti model are used to predict the iron losses. It is shown that the iron losses predicted by the proposed model agree well with the test results over a wide range of supply voltages. This study contributes the technical support for the development of new premium efficiency motors.
机译:这项研究提出了一个两阶段的分段可变参数模型,用于精确预测感应电动机的铁损。在该模型中,两个附加的磁通密度项反映了电动机中的非线性磁化强度和谐波磁场,并且主要损耗参数随磁通密度的大小和频率呈分段变化,因此可以更准确地预测铁损在大范围的通量密度频率和幅值上都可以实现。同时,利用该模型还可以对铁损的基波和谐波进行精细分析,揭示出谐波场对磁滞和涡流损耗的影响。实验验证了叠层钢DR510和DW470以及Y132S-4 5.5 kW和YX3-250M-4 55 kW感应电动机,它们的芯由上述钢制成。在不同大小的电压供应下进行电动机的实验,并使用所提出的模型和Bertotti模型来预测铁损。结果表明,所提出的模型预测的铁损与电源电压范围较宽的测试结果吻合良好。该研究为新型高效电动机的开发提供了技术支持。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号