Position Estimation in Permanent Magnet Synchronous Linear Motor Without Position Sensor

被引：0
|
作者：
Dong, Sixing [1 ]
Dong, Fei [1 ]
Zhao, Jiwen [1 ]
Lu, Siliang [1 ]
Huang, Jian [1 ]
机构：
[1] Anhui Univ, Sch Elect Engn & Automat, Hefei 230601, Peoples R China
来源：
PROCEEDINGS OF THE 2016 IEEE 11TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA) | 2016年
关键词：
PMSLM; EKF; sensorless control; PI controller; SPEED CONTROL; OBSERVER; DRIVES;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
It is necessary to estimate the information of the accurate position and speed for the sensorless control of permanent magnet synchronous linear motor (PMSLM) drive system. This paper presents a novel digital sensorless control algorithm for PMSLM drives based on extended Kalman filter (EKF). The model of the PMSLM control system based on EKF in Simulink simulation environment is developed. The PI controller is used in current, speed and position loop which the feedback signal of position and speed is estimated by EKF algorithm. The simulation result shows that the EKF algorithm is effective to estimate the position and speed in a wide position range. The dynamic responsibility of the PMSLM without position sensor based on EKF is fast.
引用
收藏
页码：1235 / 1238
页数：4
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