Sensorless Speed Control of Induction Motor using MRAS
G. Pydiraju1, M. Daivaasirvadam2

1G. Pydiraju, PG Student, Department of E.E.E, Vignan’s Institute of Information Technology, Visakhapatnam (Andhra Pradesh), India.
2M. Daivaasirvadam, Assistant Professor, Department of E.E.E, Vignan’s Institute of Information Technology, Visakhapatnam (Andhra Pradesh), India.

Manuscript received on 18 November 2012 | Revised Manuscript received on 25 November 2012 | Manuscript published on 30 November 2012 | PP: 31-35 | Volume-1 Issue-5, November 2012 | Retrieval Number: E0365101512/2012©BEIESP
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Abstract: In order to implement the vector control technique, the motor speed information is required. Tachogenerators, resolvers or incremental encoders are used to detect the speed. These sensors require careful mounting and alignment and special attention is required with electrical noises. Speed sensor needs additional space for mounting and maintenance and hence increases the cost and the size of the drive system .These problems are eliminated by speed sensorless vector control by using model reference adaptive system. Model reference adaptive system is a speed estimation method having two models namely reference and adaptive model .The error between two models estimates induction motor speed. This project proposes a Model Reference Adaptive System (MRAS) for estimation of speed of induction motor. An Induction motor is developed in stationary reference frame and Space Vector Pulse Width Modulation (SVPWM) is used for inverter design. PI controllers are designed controlling purpose. It has good tracking and attains steady state response very quickly which is shown in simulation results by using MATLAB/SIMULINK.
Keywords: Sensor less Vector Control, Model Reference Adaptive System (MRAS), Induction Motor, Stationary Reference Frame, Speed Estimation.

Scope of the Article: Sensor Networks