A speed sensorless induction motor vector control system using q-axis flux with parameter identification

Author(s):  
M. Tsuji ◽  
Shuo Chen ◽  
K. Izumi ◽  
T. Ohta ◽  
E. Yamada
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.


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.


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