Digital-Twin-Enabled Smart Control Engineering

Name: Digital-Twin-Enabled Smart Control Engineering
Brand: Springer, Berlin
SKU: 9783031221422
Price: 236.12 PLN
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A Framework and Case Studies

Autor: Jairo Viola, YangQuan Chen

Język:

Oprawa: Miękka

Wydawca: Springer, Berlin

Dostępność: 50 % szansa

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This book presents a novel design framework for the development of Digital Twin (DT) models for proc...

Informacje o książce

Autor

Jairo Viola, YangQuan Chen

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2024

strony

111

EAN

9783031221422

Enbook ID

45116903

Wydawca

Springer, Berlin

Waga

248

Wymiary

168 x 240

Pełny opis

This book presents a novel design framework for the development of Digital Twin (DT) models for process- and motion-control applications. It is based on system-data acquisition using cutting-edge computing technologies, modelling of physical-system behavior through detailed simultaneous simulation of different aspects of the system, and optimal dynamic behavior-matching of the process. The design framework is enhanced with real-time data analytics to improve the performance of the DT's behavior-matching with the real system or physical twin.The methods of creating a DT detailed in Digital-Twin-Enabled Smart Control Engineering make possible the study of a system for real-time controller tuning and fault detection. They also facilitate life-cycle analysis for multiple critical and dangerous conditions that cannot be explored in the corresponding real system or physical twin. The authors show how a DT can be exploited to enable self-optimizing capabilities in feedback control systems.The DT framework and the control-performance assessment, fault diagnosis and prognosis, remaining-useful-life analysis, and self-optimizing control abilities it allows are validated with both process- and motion-control systems and their DTs. Supporting MATLAB-based material for a case study and an expanded introduction to the basic elements of DTs can be accessed on an associated website. This book helps university researchers from many areas of engineering to develop new tools for control design and reliability and life-cycle assessment and helps practicing engineers working with robotic, manufacturing and processing, and mechatronic systems to maintain and develop the mechanical tools they use.

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Digital-Twin-Enabled Smart Control Engineering

A Framework and Case Studies

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