Parameter adaptive for PMSM sensorless speed control

Zheng Jun Wang; Jun Zheng Wang; Yong Hao Cui

Parameter adaptive for PMSM sensorless speed control

Zheng Jun Wang^*, Jun Zheng Wang, Yong Hao Cui

^*Corresponding author for this work

School of Automation

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

This paper aims at reducing the effects caused by the model parameter variations in the permanent magnet synchronous motor(PMSM) sensorless speed control. A model parameter adaptive observer is proposed, which utilizes the dual unscented Kalman filter (DUKF) to estimate system states and model parameters. The experimental results show that DUKF based observer estimates the system states and model parameters efficiently and accurately in the PMSM sensorless speed control. This control scheme has achieved the expected performance with model parameter adaptation.

Original language	English
Pages (from-to)	95-98
Number of pages	4
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	30
Issue number	SUPPL. 1
Publication status	Published - Jun 2010

Keywords

Dual unscented Kalman filter(DUKF)
Parameter adaptation
Permanent magnet synchronous motor(PMSM)
Sensorless speed control

Cite this

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title = "Parameter adaptive for PMSM sensorless speed control",

abstract = "This paper aims at reducing the effects caused by the model parameter variations in the permanent magnet synchronous motor(PMSM) sensorless speed control. A model parameter adaptive observer is proposed, which utilizes the dual unscented Kalman filter (DUKF) to estimate system states and model parameters. The experimental results show that DUKF based observer estimates the system states and model parameters efficiently and accurately in the PMSM sensorless speed control. This control scheme has achieved the expected performance with model parameter adaptation.",

keywords = "Dual unscented Kalman filter(DUKF), Parameter adaptation, Permanent magnet synchronous motor(PMSM), Sensorless speed control",

author = "Wang, {Zheng Jun} and Wang, {Jun Zheng} and Cui, {Yong Hao}",

year = "2010",

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AU - Wang, Zheng Jun

AU - Wang, Jun Zheng

AU - Cui, Yong Hao

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N2 - This paper aims at reducing the effects caused by the model parameter variations in the permanent magnet synchronous motor(PMSM) sensorless speed control. A model parameter adaptive observer is proposed, which utilizes the dual unscented Kalman filter (DUKF) to estimate system states and model parameters. The experimental results show that DUKF based observer estimates the system states and model parameters efficiently and accurately in the PMSM sensorless speed control. This control scheme has achieved the expected performance with model parameter adaptation.

AB - This paper aims at reducing the effects caused by the model parameter variations in the permanent magnet synchronous motor(PMSM) sensorless speed control. A model parameter adaptive observer is proposed, which utilizes the dual unscented Kalman filter (DUKF) to estimate system states and model parameters. The experimental results show that DUKF based observer estimates the system states and model parameters efficiently and accurately in the PMSM sensorless speed control. This control scheme has achieved the expected performance with model parameter adaptation.

KW - Dual unscented Kalman filter(DUKF)

KW - Parameter adaptation

KW - Permanent magnet synchronous motor(PMSM)

KW - Sensorless speed control

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AN - SCOPUS:77955257468

SN - 1001-0645

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JO - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

IS - SUPPL. 1

ER -

Parameter adaptive for PMSM sensorless speed control

Abstract

Keywords

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