DocumentCode
1862330
Title
Research on speed-sensorless induction motor control system based on AMESim-Simulink simulation
Author
Jia Xiaoyan ; Xie Xiaohua ; Wang Xue ; Chen Hong
Author_Institution
Dept. of Control Sci. & Eng., Jilin Univ., Changchun, China
fYear
2012
fDate
3-5 Sept. 2012
Firstpage
375
Lastpage
380
Abstract
This paper will establish the simulation model and the inverter model of induction motor based on the multi function simulation software AMESim. Considering the influence on the motor from the temperature and other complex factors, and Using Matlab / Simulink software to establish a simulation model of direct torque control system, then we go on combined simulation through the combination of the two aspects. The simulation result shows that the controller make the speed faster and the robustness stronger of the motor control system, but at the same time it exposes the shortcoming that torque pulsing will enlarge at the low speed. Pointing at the shortcoming, this article starts with the principle of extended kalman filtering algorithm, uses of measuring current, voltage on the pattern of stator, deduces from a new motor speed, flux state observer model without speed sensor, and estimates the rotor speed and stator flux. The simulation result shows that this method can solve the problem of flux and torque pulsing effectively.
Keywords
Kalman filters; angular velocity control; digital simulation; electric current measurement; induction motors; invertors; nonlinear filters; observers; robust control; sensorless machine control; stators; torque control; voltage measurement; AMESim-Simulink simulation model; Matlab software; current measurement; direct torque control system; extended kalman filtering algorithm; induction motor inverter model; motor speed flux state observer model; multi function simulation software; robustness; rotor speed estimation; speed-sensorless induction motor control system; stator flux estimation; stator pattern voltage; torque pulsing; Computational modeling; Induction motors; Kalman filters; Mathematical model; Rotors; Stators; Torque; Extended Kalman filter; direct torque control; the simulation software AMESim; torque ripple;
fLanguage
English
Publisher
ieee
Conference_Titel
Control (CONTROL), 2012 UKACC International Conference on
Conference_Location
Cardiff
Print_ISBN
978-1-4673-1559-3
Electronic_ISBN
978-1-4673-1558-6
Type
conf
DOI
10.1109/CONTROL.2012.6334659
Filename
6334659
Link To Document