Digitaltwinenabled Smart Control Engineering A Framework And Case Studies Jairo Viola by Jairo Viola, Yangquan Chen 9783031221392, 3031221397 instant download after payment.

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.