用EKF估计速度和转子位置的无传感器IPMSM驱动

42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475) Pub Date : 2003-12-09 DOI:10.1109/CDC.2003.1271951

M. Kosaka, H. Uda

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引用次数: 8

摘要

提出了一种利用扩展卡尔曼滤波(EKF)估计转速和转子位置的无传感器内嵌式永磁同步电动机(IPMSM)驱动方法。该方法是在无传感器表面永磁同步电机(SPMSM)驱动器的基础上发展起来的[Bolognani et al.， 1999]，该驱动器可应用于无凸极电机，并可应用于IPMSM等具有凸极的电机。该方法的特点是即使电机电流或电机电压发生变化，也不会产生转子位置估计误差。因此，该方法可以应用于任意电机电压波形，因此，该方法适用于无传感器IPMSM驱动。通过数值仿真验证了该方法的有效性。

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Sensorless IPMSM drive with EKF estimation of speed and rotor position

In this paper, a new sensorless interior permanent magnet synchronous motor (IPMSM) drive method with extended Kalman filtering (EKF) estimation of speed and rotor position is proposed. This method is on the basis of the sensorless surface permanent magnet synchronous motor (SPMSM) drive [Bolognani et al., 1999] that can be applied to motors with no salient pole and is developed so as to be able to be applied to motors with salient pole such as IPMSM. The feature of the method is that rotor position estimation error does not occur even if motor current or motor voltage change. Therefore, the method can be applied with arbitrary motor voltage waveform and, consequently, the method is suitable for sensorless IPMSM drive. Numerical simulations are illustrated to verify the effect of the method.

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来源期刊

42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475)

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