Deep-Learning Techniques Applied for State-Variables Estimation of Two-Mass System

Deep-Learning Techniques Applied for State-Variables Estimation of Two-Mass System

The article is focused on the application of neural models for state-variables estimation. The estimators are applied in the control structure (with the state speed controller) of the electric drive with an elastic shaft. The extended amount of feedback is an additional argument for the estimation o...

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Bibliographic Details
Main Authors: Grzegorz Kaczmarczyk, Radoslaw Stanislawski, Marcin Kaminski
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Energies
Subjects:
deep neural estimator
shaft torque
motor speed
elastic shaft
two-mass system
hardware implementation
Online Access:https://www.mdpi.com/1996-1073/18/3/568
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