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Digital-Twin-Enabled Smart Control Engineering : A Framework and Case Studies / by Jairo Viola, YangQuan Chen.
Springer Nature Synthesis Collection of Technology Collection 12 (2023) Available online
View online- Format:
- Book
- Author/Creator:
- Viola, Jairo., Author.
- Chen, YangQuan., Author.
- Series:
- Synthesis lectures on engineering, science, and technology 2690-0327
- Synthesis Lectures on Engineering, Science, and Technology, 2690-0327
- Language:
- English
- Subjects (All):
- Cooperating objects (Computer systems).
- Industrial engineering.
- Automation.
- Automatic control.
- Computer simulation.
- Dynamics.
- Nonlinear theories.
- Cyber-Physical Systems.
- Industrial Automation.
- Control and Systems Theory.
- Computer Modelling.
- Applied Dynamical Systems.
- Local Subjects:
- Cyber-Physical Systems.
- Industrial Automation.
- Control and Systems Theory.
- Computer Modelling.
- Applied Dynamical Systems.
- Physical Description:
- 1 online resource (XII, 111 pages 67 illustrations, 61 illustrations in color)
- Edition:
- 1st ed. 2023.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2023.
- System Details:
- text file PDF
- Summary:
- 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.
- Contents:
- Digital Twin Background
- A Digital Twin Development Framework
- Digital Twin Enabling Capabilities
- Smart Control Engineering Enabled by Digital Twin
- Summary and Future Research Opportunities.
- Other Format:
- Printed edition:
- ISBN:
- 9783031221408
- Access Restriction:
- Restricted for use by site license.
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