基于扩展开曼滤波的永磁同步电机无传感器控制

2014 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES) Pub Date : 2014-12-01 DOI:10.1109/PEDES.2014.7042090

Shoeb Hussain, M. A. Bazaz

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引用次数: 10

摘要

本文提出了采用扩展开曼滤波(EKF)对永磁同步电动机驱动进行无传感器控制。建立了永磁同步电机的状态空间模型，利用EKF进行速度和位置估计。速度控制采用积分滑模控制器(SMC)。采用积分SMC，在不同的负载条件和参数变化下，驱动器的动态性能得到了改善。本文对一个1.7Nm、300Vdc、3750rpm的永磁同步电机进行了MATLAB仿真，研究了系统扰动、转速和负载变化的影响。

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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Sensorless control of PMSM using Extended Kaiman filter with Sliding mode controller

This paper presents the sensorless control of PMSM drive using Extended Kaiman filter (EKF). The state space model of PMSM is developed and EKF is used for speed and position estimation. Speed control is carried out using Integral Sliding mode controller (SMC). With Integral SMC, the dynamic performance of the drive is improved under varying load conditions and parameter variations. MATLAB simulation of a 1.7Nm, 300Vdc, 3750rpm PMSM is presented in this paper and studied subject to system disturbances, variations in speed and load.

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2014 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)

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