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高速变频电机仿真中硅钢片材料特性预测研究 被引量:4

Prediction of Performance of Silicon Steel-sheet in Simulation
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摘要 采用谐波分析法对PWM逆变器供电的高速电机进行仿真,并提出了一个基于神经网络的硅钢片材料特性预测模型,能够快速而准确地给出任意状态下硅钢片的材料特性数据。该方法对于高速变频电机设计具有现实意义。 In this paper, a harmonic analysis approach for simulation of high-speed induction motor fed by PWM inverter is presented, and a neural network model is developed to predict the performance of silicon-steel sheet, which leads a powerful approach to design and simulation of high-speed variable frequency induction motor.
机构地区 华侨大学 河海大学
出处 《微特电机》 北大核心 2004年第3期9-11,共3页 Small & Special Electrical Machines
关键词 高速变频电机 仿真 硅钢片 预测 high-speed variable frequency induction motor simulation silicon-steel sheet prediction
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参考文献4

  • 1Boglietti A,Ferraris P,Lazzari M. Iron losses in Magnetic Materials with six - step and PWM inverter supply[J]. IEEE TRANS. ON MAGNETICS, 1991,27(6):5334-5336
  • 2Boglietti A,Ferraris P,Lazzari M. Influence of the inverter characteristics on the iron losses in inverter fed induction motor[J].IEEE TRANS.ON INDUSTRY APPLICATION, 1996,32(65):1190 - 1194
  • 3Boglietti A, Lazzari M,Pastorelli M. Iron losses prediction with PWM inverter supply using steel producer data sheets[C]. IEEE - lAS Annual meeting, USA New Orleans, 1997:83 - 88
  • 4Yu X, Loh N K. Comparisons of Four Learning Algorithms for Training the Multi - Layer Feed Forward Neural Networks with Hard Limiting Neurons[J]. IEEE TRANS. ON NEURAL NETWORKS THEORY, 1996,28(3):473-476

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