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教授

博士生导师

硕士生导师

性别:男

毕业院校:东北大学

学位:博士

所在单位:控制科学与工程学院

学科:控制理论与控制工程. 运筹学与控制论

办公地点:创新园大厦A座722室

电子邮箱:cshao@dlut.edu.cn

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基于模型参考自适应的感应电机励磁互感在线辨识新方法

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论文类型:期刊论文

发表时间:2022-06-28

发表刊物:中国电机工程学报

所属单位:电子信息与电气工程学部

卷号:30

期号:3

页面范围:71-76

ISSN号:0258-8013

摘要:In an induction motor maximum efficiency control system based on vector
   control, variation of mutual inductance resulted from the magnetizing
   flux adjustment is a problem to be solved. This paper proposed, based on
   model reference adaptive system (MRAS), a novel method for on-line
   identification of the induction motor mutual inductance. Special
   functions established in different reference frames served as the
   reference model and the adjustable model of MRAS, and the steady-state
   electric torque considering to be known and thereby employed to achieve
   on-line identification of the induction motor mutual inductance. The
   established MRAS models are independent of the rotor flux orientation
   angle of vector control and robust to motor parameters. The control
   system is easy to implement due to only stator current is in need, and
   no additional hardware is required. Experimental results show that the
   proposed method is correct and effective

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