Research on high precision real-time digital twin model

With the development of digital twin technology, high-precision digital twin technology is becoming increasingly urgent in production practice. This article proposes a high-precision digital twin model construction method for electromechanical actuators based on practical production needs. Firstly, a twin mechanism model was constructed from the aspects of geometry, physics, behavior, and rules. The time-varying transfer function of the electromechanical actuator was established, and the parameters were identified and updated through particle swarm optimization to achieve digital mapping. Secondly, a twin data model was constructed, taking historical data of relevant features as input, and a BP neural network-based input voltage prediction model was constructed. Finally, the accuracy and feasibility of the twin mechanism model were verified through simulation, and the introduced digital twin technology provides a new method for real-time interaction and adjustment between the theoretical model of electromechanical actuators and actual data.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/icemce64157.2024.10862695
Citations
1
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
0.33
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article

Research on high precision real-time digital twin model

Youfu Li, Z. Tao
1 citations
Iterative Learning Control Systems
0.33
article

Research on high precision real-time digital twin model

Youfu Li, Z. Tao
article en
1 citations

Abstract

With the development of digital twin technology, high-precision digital twin technology is becoming increasingly urgent in production practice. This article proposes a high-precision digital twin model construction method for electromechanical actuators based on practical production needs. Firstly, a twin mechanism model was constructed from the aspects of geometry, physics, behavior, and rules. The time-varying transfer function of the electromechanical actuator was established, and the parameters were identified and updated through particle swarm optimization to achieve digital mapping. Secondly, a twin data model was constructed, taking historical data of relevant features as input, and a BP neural network-based input voltage prediction model was constructed. Finally, the accuracy and feasibility of the twin mechanism model were verified through simulation, and the introduced digital twin technology provides a new method for real-time interaction and adjustment between the theoretical model of electromechanical actuators and actual data.

CCCC Wuhan Harbour Engineering Design and Research (China) (CN)
Openalex Percentile: Top 37%
Iterative Learning Control Systems
0.33
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Research on high precision real-time digital twin model — Youfu Li, Z. Tao · (2024) | TGRS Research Map | TGRS