Calibration of Torque Error of Permanent Magnet Synchronous Motor Base on Polynomial Linear Regression Model

2019 ◽  
Author(s):  
Hongyu Jie ◽  
Gang Zheng
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Permanent Magnet ◽  
Linear Regression Model ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor

Automatic Measurement of Stator Resistance for Permanent Magnet Synchronous Motors Based on Simple Linear Regression Model

2013 ◽  
Vol 732-733 ◽  
pp. 1142-1146
Author(s):  
Feng Li ◽  
Chao Ying Xia
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Permanent Magnet ◽  
Linear Regression Model ◽  
Automatic Measurement ◽  
Ordinary Least Squares ◽  
Experimental Result ◽  
Simple Linear Regression ◽  
Simple Linear Regression Model ◽  
Stator Resistance

In the field-oriented vector control system of permanent magnet synchronous motor (PMSM), the performance is directly dependent on the accuracy of motor parameters. Because of nonlinear factors of the inverter, the difficulty in accurate compensation of voltage error and low accuracy of measurement are problems which exist in stator resistance identification approach based on traditional DC voltmeter-ammeter method. In this paper, the ordinary least squares method based on simple linear regression model is used to finish the automatic measurement of stator resistance. It is verified that the method has higher measurement accuracy according to the experimental result. Furthermore, nonlinear factors of the inverter are not needed to be taken into account using the method, which has comparatively strong practicality in engineering.

scholarly journals Parameter Estimation of Permanent Magnet Synchronous Motor Using Orthogonal Projection and Recursive Least Squares Combinatorial Algorithm

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Iman Yousefi ◽  
Mahmood Ghanbari
Keyword(s):  
Parameter Estimation ◽  
Linear Regression ◽  
Least Squares ◽  
Permanent Magnet ◽  
Orthogonal Projection ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Recursive Least Squares ◽  
Projection Algorithm ◽  
Combinatorial Algorithm

This paper presents parameter estimation of Permanent Magnet Synchronous Motor (PMSM) using a combinatorial algorithm. Nonlinear fourth-order space state model of PMSM is selected. This model is rewritten to the linear regression form without linearization. Noise is imposed to the system in order to provide a real condition, and then combinatorial Orthogonal Projection Algorithm and Recursive Least Squares (OPA&RLS) method is applied in the linear regression form to the system. Results of this method are compared to the Orthogonal Projection Algorithm (OPA) and Recursive Least Squares (RLS) methods to validate the feasibility of the proposed method. Simulation results validate the efficacy of the proposed algorithm.

Study of Reactance Evaluation Methods in Saturated Magnetic Field for Permanent Magnet Synchronous Motor

2006 ◽  
Vol 126 (12) ◽  
pp. 1722-1729 ◽  
Author(s):  
Akeshi Takahashi ◽  
Haruo Koharagi ◽  
Satoshi Kikuchi ◽  
Kazumasa Ide ◽  
Kazuo Shima
Keyword(s):  
Magnetic Field ◽  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Evaluation Methods

A Study on Permanent Magnet Synchronous Motor Characteristics with Rotor Eccentricity

2011 ◽  
Vol 131 (8) ◽  
pp. 1029-1035 ◽  
Author(s):  
Ryoichi Takahata ◽  
Shinichi Wakui ◽  
Kenji Miyata ◽  
Keiji Noma ◽  
Masaharu Senoo
Keyword(s):  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Rotor Eccentricity

Influence of Rotor Eccentricity on Vibration Characteristics of Permanent Magnet Synchronous Motor

2018 ◽  
Vol 138 (9) ◽  
pp. 730-738
Author(s):  
Ryoichi Takahata ◽  
Shinichi Wakui ◽  
Kenji Miyata ◽  
Keiji Noma ◽  
Masaharu Senoo
Keyword(s):  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Vibration Characteristics ◽  
Rotor Eccentricity
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