| 基于降阶线性卡尔曼算法的永磁同步电机无速度传感器控制 |
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| 引用本文： | 刘祖全,张庆范.基于降阶线性卡尔曼算法的永磁同步电机无速度传感器控制[J].变频器世界,2009(4):36-38. |
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| 作者姓名： | 刘祖全 张庆范 |
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| 作者单位： | 山东大学控制科学与工程学院 |
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| 摘 要： | 介绍了一种基于降阶线性卡尔曼算法（RLKF）的永磁同步电机（PMSM）转速与转子位置估计方法，并与传统的扩展卡尔曼算法（EKF）进行了比较，仿真结果证明，该方法不仅延续了扩展卡尔曼算法的性能优势，而且克服了EKF算法复杂等缺点，更易于数字化实现。
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| 关 键 词： | 降阶线性卡尔曼 永磁同步电机 无速度传感器 |
Sensorless Control Method of PMSM Based on Reduced-Order Linear Kalman Filter |
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| Liu Zuquan Zhang Qingfan.Sensorless Control Method of PMSM Based on Reduced-Order Linear Kalman Filter[J].THE WORLD OF INVERTERS,2009(4):36-38. |
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| Authors: | Liu Zuquan Zhang Qingfan |
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| Affiliation: | Liu Zuquan, Zhang Qingfan |
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| Abstract: | A Sensorless control technique of permanent magnent synchronous motor (PMSM)Speed and rotor position estimation based on reduced-order linear Kalman filter(RLKF or LKF)is presented and compared with classic extended Kalman filter(EKF). The comparison shows that proposed RLKF not only inherit all the benefit from classic EKF but also overcome some flows,such as the complex process,applied in digital progress more easily. |
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| Keywords: | Reduced-order Kalman filter（RLKF） Permanent magnent synchronous motor （PMSM） Sensorless control |
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