Modified MRAS approach for sensorless speed control of induction motor for reliability improvement

This paper proposes an innovative approach in sensorless speed control of induction motor which easily fixes the system at lower cost with high reliability. The conventional Model Reference Adaptive System (MRAS) approach is usually built on the model of voltage and flux linkage in which the accurac...

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Bibliographic Details
Published inInternational journal of information technology (Singapore. Online) Vol. 14; no. 3; pp. 1595 - 1602
Main Authors Ganjewar, Shrinivas P., Pahariya, Yogesh
Format Journal Article
LanguageEnglish
Published Singapore Springer Nature Singapore 2022
Subjects
Artificial Intelligence
Computer Imaging
Computer Science
Image Processing and Computer Vision
Machine Learning
Original Research
Pattern Recognition and Graphics
Software Engineering
Vision
Modified MRAS
Sensorless speed control
Induction motor drive
Reliability improvement
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Summary:This paper proposes an innovative approach in sensorless speed control of induction motor which easily fixes the system at lower cost with high reliability. The conventional Model Reference Adaptive System (MRAS) approach is usually built on the model of voltage and flux linkage in which the accuracy of the speed estimation is affected by the deviations in stator parameters. In the proposed modified MRAS method, to avoid the impact of motor quantities on the performance of speed calculation. Imaginary power in fixed coordinate without speed information is used in the reference model and the imaginary power in the revolving coordinate contains the speed data. The proposed method developed in the MATLAB/Simulink environment and simulation results shows the accuracy and reliability of the speed estimation under the various running conditions.
ISSN:2511-2104
2511-2112
DOI:10.1007/s41870-021-00847-z