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首页> 外文期刊>IEEE transactions on industrial informatics >Speed Harmonic Based Modeling and Estimation of Permanent Magnet Temperature for PMSM Drive Using Kalman Filter
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Speed Harmonic Based Modeling and Estimation of Permanent Magnet Temperature for PMSM Drive Using Kalman Filter

机译：基于卡尔曼滤波器的基于速度谐波的永磁同步电机驱动器永磁温度建模与估算

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摘要

This paper investigates permanent magnet temperature (PMT) modeling and estimation for permanent magnet synchronous machines (PMSMs) by using the measured speed harmonic. First, a linear temperature model is derived to demonstrate that the magnitude of the speed harmonic decreases linearly with the increase of PMT. To achieve this linear model, the speed harmonic is induced by the injected harmonic currents satisfying certain conditions developed in this paper. To improve the estimation performance, PMT estimation is represented in a state-space model based on the derived temperature model, and the Kalman filter is applied to estimate the PMT from the measured speed harmonic. Compared with existing methods, the proposed approach has advantages in terms of simplicity in estimation and robustness to the variation of machine resistance and inductances. The proposed Kalman filter based modeling and estimation approach is evaluated with extensive experiments on a laboratory PMSM drive system under different speed and load conditions.
机译：本文通过使用测得的速度谐波来研究永磁同步电机（PMSM）的永磁温度（PMT）建模和估计。首先，推导线性温度模型，以证明速度谐波的幅度随PMT的增加而线性减小。为了实现该线性模型，速度谐波是由满足本文所提出的某些条件的注入谐波电流感应产生的。为了提高估计性能，在基于导出的温度模型的状态空间模型中表示PMT估计，并应用卡尔曼滤波器从测得的速度谐波中估计PMT。与现有方法相比，该方法在估计简单和对机器电阻和电感变化的鲁棒性方面具有优势。在不同速度和负载条件下，在实验室PMSM驱动系统上进行了广泛的实验，对基于卡尔曼滤波器的建模和估计方法进行了评估。

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