A Novel Analytical Approach Using Rough Set and Genetic Algorithm of a Stable Sensorless Induction Motor Drives in the Regenerating Mode

A Novel Analytical Approach Using Rough Set and Genetic Algorithm of a Stable Sensorless Induction Motor Drives in the Regenerating Mode

A novel approach for optimized observer feedback gains of a stable sensorless induction motor (IM) drives at very low speeds in the regenerating mode is presented. The proposed approach depends on the rough set (RS) and genetic algorithm (GA) in a cascading construction. The RS is used to obtain the...

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Bibliographic Details
Main Authors: Mohamed S. Zaky, Tamer Fetouh, Shaaban M. Shaaban, Haitham Z. Azazi
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Rough set theory
genetic algorithm
sensorless drive
observers
parameters deviation
Online Access:https://ieeexplore.ieee.org/document/9175007/

Internet

https://ieeexplore.ieee.org/document/9175007/

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