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个人信息Personal Information
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
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
备注:新增回溯数据