永磁同步发电机状态估计器的比较

2018 22nd International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2018-10-01 DOI:10.1109/ICSTCC.2018.8540746

L. Gliga, H. Chafouk, D. Popescu, C. Lupu

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引用次数: 3

摘要

本文以永磁同步发电机为例进行了对比研究。结果表明，带离散积分器的连续模型是非线性模型离散化的最佳解。然后，对卡尔曼滤波器(KF)、扩展卡尔曼滤波器(EKF)和无气味卡尔曼滤波器进行了比较。给出了结果，并表明EKF最适合此应用程序。此外，还讨论了滤波器的行为，其中所有滤波器都表现得像比例控制器一样。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Comparison of State Estimators for a Permanent Magnet Synchronous Generator

A Permanent Magnet Synchronous Generator is chosen as a case study for this comparison. A continous model with a discrete integrator is shown to be the best solution for the discretization of the nonlinear model. Then, the Kalman Filter (KF), the Extended Kalman Filter (EKF) and the Unscented Kalman Filter are compared. The results are presented and it is shown that the EKF is the best suited for this application. Moreover, a discussion regarding the behaviour of the filters follows, where all are shown to act like proportional controllers.

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2018 22nd International Conference on System Theory, Control and Computing (ICSTCC)

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