Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Digital-Twin-Enabled Smart Control Engineering : A Framework and Case Studies, Hardback Book

Digital-Twin-Enabled Smart Control Engineering : A Framework and Case Studies Hardback

Part of the Synthesis Lectures on Engineering, Science, and Technology series

Hardback

Description

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 capabilitiesin 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.

Information

Save 15%

£44.99

£37.85

 
Free Home Delivery

on all orders

 
Pick up orders

from local bookshops

Information