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Adaptive CDKF Algorithm Research and Application on PMSM’Sensorless Vector Control
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[1]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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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 35卷 Number of periods: 2014 04 Page number: 69-73 Column: Public date: 2014-08-30
Title:
Adaptive CDKF Algorithm Research and Application on PMSM’Sensorless Vector Control
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
CLC:
TM341 TM351
DOI:
10.3969/j.issn.1671 -6833.2014.04.017
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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