DocumentCode :
2789627
Title :
Sliding Mode MRAS Speed Sensorless Vector Control for Submersible Motor
Author :
Shan Bai ; He Wang
Author_Institution :
Sch. of Electr. Eng., Shenyang Univ. of Technol., Shenyang, China
fYear :
2015
fDate :
24-26 April 2015
Firstpage :
916
Lastpage :
920
Abstract :
In consideration of the difficulty to install speed sensor result from special high temperature working environment of submersible motor, in this paper, a method of sliding mode model reference adaptive observer(SMMRAS) is used to estimate the speed of sensor less vector controlled submersible motor. This method combines variable structure control with model reference adaptive system (MRAS) to improve the accuracy of speed identification, and testability and speediness capability of the system are proved by Yaupon theory. The model of the speed-sensor less vector control system of induction motor is built by MatLab/Simulink. Theoretical analysis and the MATLAB simulation results show that the proposed method used in the system for speed identification has rapid response, and the static and dynamic performance is also perfect.
Keywords :
adaptive control; adaptive systems; angular velocity control; induction motors; observers; sensorless machine control; variable structure systems; Lyapunov theory; MATLAB simulation; SMMRAS; Simulink; dynamic performance; induction motor; sliding mode MRAS speed sensorless vector control; sliding mode model reference adaptive observer; speed identification; stability; static performance; submersible motor; theoretical analysis; Adaptation models; Adaptive systems; Induction motors; Mathematical model; Rotors; Switches; model reference adaptive system (MRAS); speed estimation; speed sensorless; submersible motor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Control Engineering (ICISCE), 2015 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-6849-0
Type :
conf
DOI :
10.1109/ICISCE.2015.208
Filename :
7120748
Link To Document :
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