Open AccessSensorless SPMSM Position Estimation Using Position Estimation Error Suppression Control and EKF in Wide Speed Range
Author(s) -
Zhanshan Wang,
Longhu Quan,
Xiuchong Liu
Publication year - 2014
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2014/480640
Subject(s) - control theory (sociology) , extended kalman filter , position (finance) , rotor (electric) , kalman filter , range (aeronautics) , controller (irrigation) , computer science , engineering , control engineering , control (management) , artificial intelligence , mechanical engineering , agronomy , finance , economics , biology , aerospace engineering
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
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