Research Article |
Speed Control of Sensorless Induction motor based on Grey Wolf Optimizer Fractional Order Controller using MRAS based Speed Estimation
Author(s): Saravanan T Y* and Dr. Ponnambalam P
Published In : International Journal of Electrical and Electronics Research (IJEER) Volume 12, Issue 3
Publisher : FOREX Publication
Published : 25 July 2024
e-ISSN : 2347-470X
Page(s) : 746-755
Abstract
Traditional induction motor control methods typically require feedback from sensors like encoders or resolvers to determine the motor's rotor position and speed accurately. The speed control of a sensorless induction motor is critical, so this study provides a novel method that combines the Model Reference Adaptive System (MRAS) for speed estimate with the Fractional Order PID controller for speed control. This controller's parameters are optimized using the Grey Wolf Optimizer Algorithm. After being implemented in the MATLAB/Simulink environment, the suggested approach's performance is compared to that of a standard PI controller. From the findings, it is clear that the proposed method effectively maintaining the specified speed as compared with PI controller. The proposed controller performance is also validated through experimental results.
Keywords: Model Reference Adaptive System (MRAS)
, Fractional Order PID Controller (FOPID)
, Grey Wolf Optimizer (GWO)
.
Saravanan T Y*, Research Scholar SELECT, VIT, Vellore, India; Email: saravanan651988@gmail.com
Dr. Ponnambalam P, Professor SELECT, VIT, Vellore.India; Email: ponnambalam.p@vit.ac.in
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