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Permanent Magnet Flux Identification of IPMSM based on EKF with Speed Sensorless Control

机译:基于EKF的IPMSM基于速度传感器控制的永磁磁通识别

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In order to realize precise rotor position/speed control of PMSM under sensorless operation, motor parameters should be on-line estimated. In this paper, the identification on permanent magnet flux of interior permanent magnet synchronous motor (IPMSM) under speed sensorless control is investigated. A rotor flux oriented vector control with model reference adaptive system (MRAS) based rotor position/speed estimation is employed as the basic control strategy for IPMSM drive. Furthermore, an identification method based on extended kalman filter (EKF) for the permanent magnet flux of IPMSM is proposed. By using this method, the identification problems due to low-order state equations of IPMSM can be avoided. Based on these works, the on-line permanent magnet flux identification of IPMSM with speed senseless control is realized. Simulation and experimental results demonstrate the feasibility and effectiveness of the proposed control methods, which shows the estimation error of rotor position based on the identified permanent magnet flux is limited within a very low level.
机译:为了在无传感器操作下实现PMSM的精确转子位置/速度控制,电机参数应在线估计。本文研究了速度传感器控制下内部永磁同步电动机(IPMSM)永磁通量的识别。具有模型参考自适应系统(MRAS)的转子位置/速度/速度估计的转子磁通导向式矢量控制是IPMSM驱动器的基本控制策略。此外,提出了一种基于IPMSM的永磁通量的扩展卡尔曼滤波器(EKF)的识别方法。通过使用该方法,可以避免由于IPMSM的低阶状态方程导致的识别问题。基于这些作品,实现了具有速度感知控制的IPMSM的在线永磁通量识别。模拟和实验结果表明了所提出的控制方法的可行性和有效性,其示出了基于所识别的永磁通量的转子位置的估计误差在非常低的水平内。

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