Sliding mode mras speed sensor less vector control for submersible motor

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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 the stability and speediness capability of the system are proved by Lyapunov 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

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ELECTRICAL PROJECTS USING MATLAB/SIMULINK
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Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in
0-9347143789/9949240245
Sliding Mode MRAS Speed Sensor less Vector
Control for Submersible Motor
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 the
stability and speediness capability of the system are proved by Lyapunov 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:
1. Submersible motor
2. Speed sensor less
3. Model reference adaptive system
4. MRAS
5. Speed estimation
SOFTWARE: MATLAB/SIMULINK

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