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    基于卡尔曼和改进滑模观测器的永磁电机无位置控制

    2013-06-12 《中国测试》杂志

    周大鹏, 张自友
    (乐山师范学院物理与电子工程学院,四川 乐山 614004)
    摘  要:针对以往永磁同步电机无位置控制方法存在估算精度不高和鲁棒性不强的缺陷,提出一种PMSM无位置控制方法。首先,建立PMSM的数学模型,然后设计以电流误差作为滑模面通过获取反电动势实现对转速和转子位置估算方法,最后对开关函数进行改进并采用卡尔曼对低通滤波器的输出进行过滤。系统测试表明:该法能较为准确地对PMSM的转子位置和速度进行估算,且与传统PID控制方法相比,具有抗干扰能力强、鲁棒性好和响应速度快的优点。
    关键词:永磁同步电机;卡尔曼滤波;滑模;无位置
    中图分类号:TM351;TP301.6;TP391.9;TM930.114     文献标志码:A      文章编号:1674-5124(2013)03-0104-04
    Sensorless control of PMSM based on improved sliding mode observer
    and Kalman filter
    ZHOU Da-peng, ZHANG Zi-you
    (College of Physics and Electronic Engineering,Leshan Normal University,Leshan 614004,China)
    Abstract: Due to the poor performance of the estimation accuracy and robustness of the traditional control method for PMSM (permanent magnet synchronous motor), a sensorless control method was proposed. Firstly, the mathematical model of PMSM was given. Then, the estimating method for the speed and position of the rotor was realized through obtaining the back EMF and taking the current error as the sliding mode surface. Finally, the switch function was improved and the Kalman filter was used to filter the output of the low-pass filter. The system test shows the method suggested in this paper can estimate the speed and position of the rotor, and compared with the traditional PID control method, it has the advantages of strong anti-jamming capability, good robustness and rapid following speed.
    Key words: PMSM; Kalman filter; sliding mode; sensorless
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