Cascaded Multilevel Inverter IM Speed-Sensorless Vector Control System Based on MRAS Theory

2013 ◽  
Vol 344 ◽  
pp. 159-163
Author(s):  
Zhen Jun Lin ◽  
Sheng Hua Huang

Cascaded multilevel inverters could realize high-voltage output based on a series connection of power cells which use standard low-voltage component configurations. This characteristic could achieve high-quality output voltage waveforms and input current waveforms. These merits are made for motor control, especially in the field of speed-sensorless vector control of induction motor based on the theory of MRAS. This paper constructs a simulation system with the help of MATLB/SIMULINK and a system combined cascaded H-bridge multilevel inverter with induction motor with the help of DSP and FPGA. The simulation and experiment results verified the superiority of cascaded multilevel inverter applied on the MRAS speed-sensorless vector control of induction motor.

2012 ◽  
Vol 516-517 ◽  
pp. 1664-1667 ◽  
Author(s):  
Hong Yu Wang ◽  
Wen Long Cai ◽  
Cheng Wei Hou

This paper introduces a vector control system for speed sensorless induction motor drive, which we have recently developed. In the introduce vector control system, one induction motor’s rotor speed estimation method based on model reference adaptive identification theory is proposed. The induction motor speed identification system based on the proposed method can estimate the rotor speed of the induction motor. The speed sensorless vector control system based on proposed method in this paper was built with Simulink blocks in Matlab platform. The simulation results indicate that the proposed method could operate stably in whole range of speed with preferable identification precision of rotor speed.


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.


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