Adaptive CDKF Algorithm Research and Application on PMSM’Sensorless Vector Control
[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
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
- CLC:
- TM341 TM351
- 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.
- References:
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