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An EMF Observer for PMSM Sensorless Drives Adaptive to Stator Resistance and Rotor Flux Linkage

机译:适用于PMSM无传感器驱动器的EMF观测器,可自适应于定子电阻和转子磁链

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摘要

The electromotive force (EMF) observer-based sensorless algorithms are sensitive to temperature rise because it requires the stator resistance (R-s) or the rotor flux linkage (psi(r)). The temperature measuring of an operating motor can be difficult, therefore, adaptive sensorless algorithms with online R-s and psi(r) estimation are appreciated. However, existing methods require extra signal injections, transient operations or estimate R-s and psi(r) one at a time to overcome the rank-deficient problem. In this paper, an adaptive EMF observer which is able to estimate both R-s and psi(r) simultaneously without requiring any signal injections or transient operations is proposed. The method exploits the harmonic back EMFs (HBEMF) to serve as a novel reference model and regulates the R-s value in the EMF observer accordingly. The rank deficient problem is solved with the extra information provided by the HBEMFs. To make use of the HBEMFs, a parameter insensitive extraction method and an algorithm to calculate the rotor position from them are proposed. With the proposed reference model, an adaptive scheme to regulate R-s is proposed. To obtain the rotor flux linkage, a psi(r) estimator is also developed. The effectiveness of these proposed methods is verified with experiments and simulations.
机译:基于电动势(EMF)的基于观测器的无传感器算法对温度上升非常敏感,因为它需要定子电阻(R-s)或转子磁链(psi(r))。正在运行的电机的温度测量可能很困难,因此,人们需要具有在线R-s和psi(r)估计的自适应无传感器算法。然而,现有方法需要额外的信号注入,瞬态操作或一次估计R-s和psi(r),以克服秩不足问题。在本文中,提出了一种自适应EMF观测器,该观测器能够同时估计R-s和psi(r),而无需任何信号注入或瞬态操作。该方法利用谐波反电动势(HBEMF)作为新型参考模型,并相应地调节EMF观测器中的R-s值。等级不足问题由HBEMF提供的额外信息解决。为了利用HBEMF,提出了一种参数不敏感的提取方法和一种从中提取转子位置的算法。利用提出的参考模型,提出了一种调节R-s的自适应方案。为了获得转子磁链,还开发了psi(r)估算器。通过实验和仿真验证了这些方法的有效性。

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