Vector Control of Permanent Magnet Synchronous Motor Based on Parameter Identification Technique

2014 ◽  
Vol 644-650 ◽  
pp. 705-708
Author(s):  
Jian Guang Zhu ◽  
Xiao Chen Wang ◽  
Xiao Dong Hou
Keyword(s):  
Parameter Identification ◽  
Vector Control ◽  
Permanent Magnet ◽  
Real Time ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
The Real ◽  
Adaptive Parameter ◽  
Identification Technique ◽  
Time Accuracy

Real-time accuracy of the permanent magnet synchronous motor (PMSM) parameter directly affects the performance of the servo system. In this paper, the model reference adaptive parameter identification method, the parameters of permanent magnet synchronous motor running as the actual model , the mathematical model derived from the equation of state in the d, q coordinate system as the theoretical model , in order to calculate the real-time stator resistance , inductance and rotor flux value . Thereby increasing the accuracy of the vector control .Using simulink simulation results show that, The system can quickly and accurately calculate the real-time parameters and the applied control.

A computationally efficient torque and flux ripple reduction by active vector optimization approach using direct torque control–based model predictive torque control for matrix converter–fed permanent magnet synchronous motor

2022 ◽  
pp. 014233122110688
Author(s):  
JD Anunciya ◽  
Arumugam Sivaprakasam
Keyword(s):  
Permanent Magnet ◽  
Real Time ◽  
Permanent Magnet Synchronous Motor ◽  
Direct Torque Control ◽  
Synchronous Motor ◽  
Matrix Converter ◽  
Torque Control ◽  
Optimization Approach ◽  
The Real ◽  
The Matrix

The Matrix Converter–fed Finite Control Set–Model Predictive Control is an efficient drive control approach that exhibits numerous advantageous features. However, it is computationally expensive as it employs all the available matrix converter voltage vectors for the prediction and estimation. The computational complexity increases further with respect to the inclusion of additional control objectives in the cost function which degrades the potentiality of this technique. This paper proposes two computationally effective switching tables for simplifying the calculation process and optimizing the matrix converter active prediction vectors. Here, three prediction active vectors are selected out of 18 vectors by considering the torque and flux errors of the permanent magnet synchronous motor. In addition, the voltage vector location segments are modified into 12 sectors to boost the torque dynamic control. The performance superiority of the proposed concept is analyzed using the MATLAB/Simulink software and the real-time validation is conducted by implementing in the real-time OPAL-RT lab setup.

Parameter identification for interior permanent-magnet synchronous motor

2007 ◽  
Author(s):  
Tomonobu Senjyu ◽  
Yohei Noguchi ◽  
Naomitsu Urasaki ◽  
Atsushi Yona ◽  
Hideomi Sekine
Keyword(s):  
Parameter Identification ◽  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Interior Permanent Magnet
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