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基于无速度传感器永磁同步电机矢量控制系统

Vector control system of permanent magnet synchronous motor based on speed sensorless
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摘要 针对永磁同步电机由于温度、震动、负载等外界环境干扰导致的定子电阻、定子电感、转子磁链参数值发生变化的问题,采用了模型参考自适应算法在线辨识以上3种参数,并将辨识结果反馈到扩展卡尔曼滤波算法进行速度辨识,有效地提高了系统的控制精度;同时针对速度外环传统的比例积分(PI)控制器存在控制对象结构参数变化无法自适应调节的问题,采用了自抗扰控制调节器,优点为不依赖于被控对象并能实时估计内外扰动总和并对其进行补偿,经过优化后,系统可以对不确定的扰动做出快速响应,系统可以准确跟踪转速且鲁棒性强。 Aiming at the problem that the parameter values of stator resistance,stator inductance and rotor flux linkage of permanent magnet synchronous motor(PMSM)change due to external environmental interference such as temperature,vibration and load,the model reference adaptive algorithm(MRAS)is used to identify the above three parameters online,and the identification results are fed back to the extended Kalman filter(EKF)algorithm for speed identification,which effectively improves the control accuracy of the system.At the same time,aiming at the problem that the traditional proportional integral(PI)controller in the speed outer loop can not adjust the structural parameters of the control object adaptively,the active disturbance rejection control(ADRC)regulator is adopted.Its advantage is that it does not depend on the controlled object and can estimate the sum of internal and external disturbances in real time and compensate them.After optimization,the system can respond quickly to uncertain disturbances,and the system can track the speed accurately and has strong robustness.
作者 曲洪成 毕永利 QU Hong-Cheng;BI Yong-Li(School of Mechanical and Electrical Engineering,Heilongjiang University,Harbin 150080, China)
出处 《黑龙江大学工程学报》 2022年第2期48-53,共6页 Journal of Engineering of Heilongjiang University
基金 黑龙江大学校级研究生创新科研项目(YJSCX2021-195HLJU) 国家自然科学基金面上项目(61573131)。
关键词 矢量控制 无速度传感器 模型参考自适应法 扩展卡尔曼滤波法 自抗扰控制 vector control speed sensorless model reference adaptive algorithm(MRAS) extended Kalman filter(EKF) active disturbance rejection control(ADRC)
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