永磁同步电机位置/速度估计的微分代数方法

2013 International Electric Machines & Drives Conference Pub Date : 2013-05-12 DOI:10.1109/IEMDC.2013.6556304

S. Diao, D. Diallo, Z. Makni, C. Marchand, Jean-Francois Bisson

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引用次数: 4

摘要

提出了一种永磁同步电动机转速/位置估计的微分代数方法。位置的动态是电压、电流及其导数的函数。与其他估计器如扩展卡尔曼滤波(EKF)复杂且计算量大不同，微分代数估计器具有一维模型的简单性。仿真和实验结果表明了该方法的有效性。

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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A differential algebraic approach for position/speed estimation in PMSM

This paper presents a differential algebraic approach of speed/position estimation for PMSM drive. The dynamic of the position is a function of the voltages, currents and their derivatives. In contrast to the other estimators like the Extended Kalman Filter (EKF) that is complex and computationally expensive, the differential algebraic estimator is simple with a one-dimension model. Simulations and experimental results show the effectiveness of the method.

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2013 International Electric Machines & Drives Conference

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