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Digital-twin-enabled smart control engineering : = a framework and case studies /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Digital-twin-enabled smart control engineering :/ Jairo Viola, YangQuan Chen.
Reminder of title:	a framework and case studies /
remainder title:	Framework and case studies
Author:	Viola, Jairo.
other author:	Chen, YangQuan,
Published:	Cham, Switzerland :Springer, : 2023.,
Description:	xii, 110 p. :ill. (some col.) ; : 25 cm.;
Subject:	Automatic control. -
ISBN:	9783031221392 (hbk.) :

Digital-twin-enabled smart control engineering : = a framework and case studies /
Viola, Jairo.

Digital-twin-enabled smart control engineering :a framework and case studies /Framework and case studiesJairo Viola, YangQuan Chen. - Cham, Switzerland :Springer,2023. - xii, 110 p. :ill. (some col.) ;25 cm. - Synthesis lectures on engineering, science, and technology. - Synthesis lectures on engineering, science, and technology..

Includes bibliographical references and index.

Digital Twin Background -- A Digital Twin Development Framework -- Digital Twin Enabling Capabilities -- Smart Control Engineering Enabled by Digital Twin -- Summary and Future Research Opportunities.

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 DTs 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.

ISBN: 9783031221392 (hbk.) :NT1706 Subjects--Topical Terms:

528275
Automatic control.

LC Class. No.: TJ213

Dewey Class. No.: 629.8

Digital-twin-enabled smart control engineering : = a framework and case studies /
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300 $a xii, 110 p. : $b ill. (some col.) ; $c 25 cm.
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504 $a Includes bibliographical references and index.
505 0 # $a Digital Twin Background -- A Digital Twin Development Framework -- Digital Twin Enabling Capabilities -- Smart Control Engineering Enabled by Digital Twin -- Summary and Future Research Opportunities.
520 # $a 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 DTs 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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