Mathematical Modelling and Performance Assessment of Neural Network-Based Adaptive Law of Model Reference Adaptive System Estimator at Zero and Very Low Speeds in the Regenerating Mode

Mathematical Modelling and Performance Assessment of Neural Network-Based Adaptive Law of Model Reference Adaptive System Estimator at Zero and Very Low Speeds in the Regenerating Mode

Precise speed estimation of sensorless induction motor (SIM) drives remains a significant challenge, particularly at zero and very low speeds. This paper proposes a mathematically modeled and enhanced stator current-based Model Reference Adaptive System (MRAS) estimator integrated with correction te...

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Bibliographic Details
Main Authors: Mohamed S. Zaky, Kotb B. Tawfiq, Mohamed K. Metwaly
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Mathematics
Subjects:
sensorless
induction motor
neural network
MRAS observer
stator current-based MRAS
regenerative mode
Online Access:https://www.mdpi.com/2227-7390/13/11/1715
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