Extended Kalman Filter based Speed Estimation for the Control of PMSG

被引：0
|
作者：
Singh, Mukhtiar [1 ]
机构：
[1] Delhi Technol Univ, Elect Engn Dept, Delhi, India
来源：
2019 IEEE 15TH BRAZILIAN POWER ELECTRONICS CONFERENCE AND 5TH IEEE SOUTHERN POWER ELECTRONICS CONFERENCE (COBEP/SPEC) | 2019年
关键词：
PMSG; Wind Turbine; Sensorless Control; Kalman Filter; Extended Kalman Filter; ROTOR POSITION ESTIMATION; SENSORLESS CONTROL;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
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 MATLABISIMPOWERSYSTEM. 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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页数：6
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