[1]丁国强,徐洁,熊明.PMSM最优自适应CDKF估计方法[J].郑州大学学报(工学版),2014,35(04):69-73.[doi:10.3969/j.issn.1671 -6833.2014.04.017]
　DING Guoqiang,XU Jie,XIONG Ming.Adaptive CDKF Algorithm Research and Application on PMSM’Sensorless Vector Control[J].Journal of Zhengzhou University (Engineering Science),2014,35(04):69-73.[doi:10.3969/j.issn.1671 -6833.2014.04.017]
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PMSM最优自适应CDKF估计方法()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
35
期数:
2014年04期
页码:
69-73
栏目:
出版日期:
2014-08-30

文章信息/Info

Title:
Adaptive CDKF Algorithm Research and Application on PMSM’Sensorless Vector Control
作者:
丁国强; 徐洁; 熊明
Author(s):
DING Guoqiang; XU Jie; XIONG Ming
1. College of Eleetrical & lnformation Engineering, Zhengzhou University of light Industry, Zhengzhou 450002, China ; 2. Software Engineering College, Zhengzhou [niversity of Light lndustry, Zhengzhou 450002, China; 3. Xi’an Aerospace Precision E.lectromechanical lnstitute, Xi’an 710100.China
Keywords:
ACDKF algorithm: adaptive noise estimation: PMSM: sensorless control
分类号:
TM341 TM351
DOI:
10.3969/j.issn.1671 -6833.2014.04.017
文献标志码:
A
Abstract:
To salisly the sensorless veclor conlrol perlormanee lor permanent magnel synchronous motor(PMSM), a sensorless control method based on oplimal adaptive CDKF algorithm applied on nonlinearPMSM’s parameters estimation is presented, which is based on Bayesian oplimal estimation frame and seeond.order Stirling polynomial interpolation approximation method to determine Sigma points and its weight eoellicient, and meanwhile the stalistical charaeteristies changing over time of the system and measurement noisesealeulated adaptively. With the ACDKF algorithm and the current signals of the PMSM under complieated conditions it ealeulates the speed and magnet angle displacement, then the speed and magnet angle displaeementof veetor eontrol system are obtained. The simulation data demonstrate that the proposed method has belter estimation precision and computation elicieney and numerical stability than others CDKF algorithms.
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