Parameter identification of surface mount permanent magnet synchronous motor based on recursive least square method

2020 ◽  
Author(s):  
Qiyi Zeng ◽  
Qiao Zhang ◽  
Yong Wu ◽  
Fuwen Su ◽  
Kai Hu ◽  
...  
Keyword(s):  
Parameter Identification ◽  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Least Square Method ◽  
Synchronous Motor ◽  
Least Square ◽  
Recursive Least Square ◽  
Surface Mount ◽  
Recursive Least Square Method

Parameter Identification of PMSM Based on Windowed Least Square Algorithm

2011 ◽  
Vol 383-390 ◽  
pp. 5940-5944
Author(s):  
Song Wang ◽  
Rui Jie Zhao ◽  
Wei Min Chen ◽  
Guang Da Li ◽  
Chao Liu
Keyword(s):  
Parameter Identification ◽  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Least Square ◽  
Recursive Least Square ◽  
Simulation Results

In this paper, two least square algorithms, Recursive Least Square (RLS) and Windowed Least Square (WLS) are applied to identify the parameters varying with temperature of Permanent Magnet Synchronous Motor (PMSM). In order to compare the identification effects of the two algorithms, a PMSM model is built and simulated in MATLAB. And simulation results demonstrate that WLS guarantees better timeliness and rapidity.

On-Line Parameter Identification and Active Disturbance Rejection Control of Permanent Magnet Synchronous Motor

2012 ◽  
Vol 588-589 ◽  
pp. 479-483
Author(s):  
Song Wang ◽  
Guang Da Li
Keyword(s):  
Parameter Identification ◽  
Permanent Magnet ◽  
Disturbance Rejection ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Least Square ◽  
Active Disturbance Rejection Control ◽  
Active Disturbance Rejection ◽  
Disturbance Rejection Control ◽  
On Line

A new method named Windowed Least Square (WLS) to test main parameters of Permanent Magnet Synchronous Motor (PMSM) is proposed in this paper. Compared with Extended Kalman Filter (EKF) & Elman neural network and Recursive Least Square (RLS), WLS guarantees identification accuracy and excellent timeliness, and the issue of data saturation of RLS can be avoided. The PMSM model is built combining on-line parameter identification with Active Disturbance Rejection Control (ADRC) to improve the control performance of PMSM. The simulation results demonstrate that the performance of ADRC system using online estimation strategy is better than that of the system using PID method.

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