Sensorless SPMSM Position Estimation Using Position Estimation Error Suppression Control and EKF in Wide Speed Range

The control of a high performance alternative current (AC) motor drive under sensorless operation needs the accurate estimation of rotor position. In this paper, one method of accurately estimating rotor position by using both motor complex number model based position estimation and position estimat...

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Main Authors: Zhanshan Wang, Longhu Quan, Xiuchong Liu
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2014/480640
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spelling doaj-05e5a72376914839a75d3419a27f4c222020-11-25T00:21:09ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472014-01-01201410.1155/2014/480640480640Sensorless SPMSM Position Estimation Using Position Estimation Error Suppression Control and EKF in Wide Speed RangeZhanshan Wang0Longhu Quan1Xiuchong Liu2College of Information Science and Engineering, Northeastern University, Shenyang 110004, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang 110004, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang 110004, ChinaThe control of a high performance alternative current (AC) motor drive under sensorless operation needs the accurate estimation of rotor position. In this paper, one method of accurately estimating rotor position by using both motor complex number model based position estimation and position estimation error suppression proportion integral (PI) controller is proposed for the sensorless control of the surface permanent magnet synchronous motor (SPMSM). In order to guarantee the accuracy of rotor position estimation in the flux-weakening region, one scheme of identifying the permanent magnet flux of SPMSM by extended Kalman filter (EKF) is also proposed, which formed the effective combination method to realize the sensorless control of SPMSM with high accuracy. The simulation results demonstrated the validity and feasibility of the proposed position/speed estimation system.http://dx.doi.org/10.1155/2014/480640
collection DOAJ
language English
format Article
sources DOAJ
author Zhanshan Wang
Longhu Quan
Xiuchong Liu
spellingShingle Zhanshan Wang
Longhu Quan
Xiuchong Liu
Sensorless SPMSM Position Estimation Using Position Estimation Error Suppression Control and EKF in Wide Speed Range
Mathematical Problems in Engineering
author_facet Zhanshan Wang
Longhu Quan
Xiuchong Liu
author_sort Zhanshan Wang
title Sensorless SPMSM Position Estimation Using Position Estimation Error Suppression Control and EKF in Wide Speed Range
title_short Sensorless SPMSM Position Estimation Using Position Estimation Error Suppression Control and EKF in Wide Speed Range
title_full Sensorless SPMSM Position Estimation Using Position Estimation Error Suppression Control and EKF in Wide Speed Range
title_fullStr Sensorless SPMSM Position Estimation Using Position Estimation Error Suppression Control and EKF in Wide Speed Range
title_full_unstemmed Sensorless SPMSM Position Estimation Using Position Estimation Error Suppression Control and EKF in Wide Speed Range
title_sort sensorless spmsm position estimation using position estimation error suppression control and ekf in wide speed range
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2014-01-01
description The control of a high performance alternative current (AC) motor drive under sensorless operation needs the accurate estimation of rotor position. In this paper, one method of accurately estimating rotor position by using both motor complex number model based position estimation and position estimation error suppression proportion integral (PI) controller is proposed for the sensorless control of the surface permanent magnet synchronous motor (SPMSM). In order to guarantee the accuracy of rotor position estimation in the flux-weakening region, one scheme of identifying the permanent magnet flux of SPMSM by extended Kalman filter (EKF) is also proposed, which formed the effective combination method to realize the sensorless control of SPMSM with high accuracy. The simulation results demonstrated the validity and feasibility of the proposed position/speed estimation system.
url http://dx.doi.org/10.1155/2014/480640
work_keys_str_mv AT zhanshanwang sensorlessspmsmpositionestimationusingpositionestimationerrorsuppressioncontrolandekfinwidespeedrange
AT longhuquan sensorlessspmsmpositionestimationusingpositionestimationerrorsuppressioncontrolandekfinwidespeedrange
AT xiuchongliu sensorlessspmsmpositionestimationusingpositionestimationerrorsuppressioncontrolandekfinwidespeedrange
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