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感应电机无速度传感器矢量控制中转子电阻辨识研究
引用本文:沈安文,李涛. 感应电机无速度传感器矢量控制中转子电阻辨识研究[J]. 微电机, 2006, 39(5): 6-9,12
作者姓名:沈安文  李涛
作者单位:华中科技大学,武汉,430074
摘    要:介绍了一种基于降价扩展卡尔曼滤波(EKF)的转子电阻在线辨识算法,并将其应用于基于模型参考自适应(MRAS)的无速度传感器直接磁场定向矢量控制系统。通过在MAT-LAB中建立模型进行仿真,分析了转子电阻变化对转速估算的影响,验证了算法的有效性。仿真结果表明,经过对电机转子电阻的辨识和补偿,转速估算的精度和稳定性都有较大改善。

关 键 词:感应电动机  模型参考自适应  扩展卡尔曼滤波  转速估算  电阻辨识  矢量控制
文章编号:1001-6848(2006)05-0006-04
收稿时间:2005-02-25
修稿时间:2005-02-25

Rotor Resistance Identification in Speed Sensor-less Vector Control of Induction Motor
SHEN An-wen,LI Tao. Rotor Resistance Identification in Speed Sensor-less Vector Control of Induction Motor[J]. Micromotors, 2006, 39(5): 6-9,12
Authors:SHEN An-wen  LI Tao
Affiliation:Huazhong University of Science ~ Technology, Wuhan 430074, China
Abstract:A rotor resistance identification method based on a reduced-order extended kalman filter(EKF)was introduced and was adopted in a model reference adaptive system (MRAS) based speed sensor-less direct field oriented control system.The validity of proposed methods was testified though MATLAB simulation.The influence caused by rotor resistance variation has been analyzed.Results show that by adopting the rotor resistance identification and compensa- tion,the precision and stability of the speed estimation were greatly improved.
Keywords:Induction motor   MRAS   EKF   Speed estimation   Resistance identification   Vector control
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