scholarly journals SENSORLESS VECTOR CONTROL ASYNCHRONOUS MOTOR WHEN CALCULATING IN A COMPLEX FORM

Author(s):  
Anatoly Klyuchnikov ◽  
Alexander Turpak
2018 ◽  
Vol 160 ◽  
pp. 02006
Author(s):  
Zili Liao ◽  
Qijin Zhao ◽  
Xinxi Zhang ◽  
Luming Chen

This paper analysed the basic principle of speed sensorless vector control system. Based on speed and current closed loop vector control, combined with a simple and feasible current hysteresis control strategy, the whole speed sensorless system of asynchronous motor is simulated in MATLAB/Simulink. The method uses the Model Reference Adaptive System (MRAS). The observation and analysis of waveform shows that the system has good static performance and robustness. The control effects are also as similar as the vector control system which contains speed sensor.


2013 ◽  
Vol 273 ◽  
pp. 419-423 ◽  
Author(s):  
Ling Xiao Yang ◽  
Jing Zhang

According to the basic principle of vector control for the asynchronous motor, a speed sensorless vector control system of asynchronous motor is bulit which based on the Model Reference Adaptive System (MRAS) theory. The traditional MRAS speed identification algorithm is vulnerable to the effects of stator resistance, an improved method of MRAS speed identification is put forward. A simulation model of the speed sensorless vector control system based on MRAS is bulit in Matlab/simulink, the simulation results show that the speed estimation method can accurately calculate the speed of motor.


2012 ◽  
Vol 241-244 ◽  
pp. 1797-1801
Author(s):  
Qi Yang ◽  
Yu Feng Zhang ◽  
Shi Bao Qian ◽  
Bing Li

According to speed sensorless vector control of Asynchronous motor for Cascaded high voltage inverter, a model reference adaptive system (MRAS) implemented in two phase rotating reference frame was studied to identify the rotor speed of an asynchronous motor. To eliminate the inherent limitations of MRAS in two phase stationary reference frame, the reference model and adjustable model used in this MRAS scheme are composed of an improved rotor flux voltage model and rotor flux current model in two phase rotating reference frame respectively. Simulation and experimental results show that the vector control system can estimate the flux and speed with good accuracy, and run with good static and dynamic performance in start, speed regulation and steady operation.


2013 ◽  
Vol 133 (7) ◽  
pp. 668-675
Author(s):  
Satoshi Sumita ◽  
Yasuo Notohara ◽  
Daisuke Maeda ◽  
Yoshiki Ito

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