基于扩展卡尔曼滤波的PMSG控制速度估计

Mukhtiar Singh
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引用次数: 2

摘要

研究了以永磁同步发电机(PMSG)为机电变换器的风能转换系统无传感器控制的速度和位置估计算法。在这里,主要目的是摆脱传感器及其相关的维护,连接,撕裂和磨损等问题。提出了一种完整的PMSG数学模型。在此基础上,提出了基于扩展卡尔曼滤波(EKF)观测器的PMSG速度和位置估计方法。利用MATLAB/SIMPOWERSYSTEM的不同块集对所提出的基于PMSG的WECS进行了建模和仿真。为了验证基于EKF的PMSG驱动风力机无传感器控制的有效性,我们进行了大量的仿真研究,并对各种结果进行了讨论和分析。
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Extended Kalman Filter based Speed Estimation for the Control of PMSG
This paper deals with the speed and position estimation algorithm for the sensorless control of wind energy conversion system (WECS) having permanent magnet synchronous generator (PMSG) as electromechanical converter. Here, the main purpose is to get rid of the sensors and their issues related to maintenance, connection, tearing and wearing etc. A thorough mathematical modelling of PMSG has been presented. Moreover, Extended Kalman Filter (EKF) based observer has been proposed for the speed and position estimation of PMSG. The proposed PMSG based WECS has been modelled and simulated using the different blocksets of MATLAB/SIMPOWERSYSTEM. An extensive simulation study has been conducted and various results have been discussed and analyzed to validate the EKF based sensorless control of PMSG driven wind turbine.
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