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Plug-and-Play Monitoring and Performance Optimization for Industrial Automation Processes

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Dr.-Ing. Hao Luo demonstrates the developments of advanced plug-and-play (PnP) process monitoring and control systems for industrial automation processes. With aid of the so-called Youla parameterization, a novel PnP process monitoring and control architecture (PnP-PMCA) with modularized components is proposed. To validate the developments, a case study on an industrial rolling mill benchmark is performed, and the real-time implementation on a laboratory brushless DC motor is presented.

Author(s): Hao Luo
Publisher: Springer Fachmedien Wiesbaden GmbH
Year: 2017

Language: English
Pages: 158
Tags: Control, Robotics, Mechatronics;Electrical Engineering;Industrial and Production Engineering

Front Matter....Pages I-XVII
Introduction....Pages 1-8
Basics of Process Monitoring Techniques....Pages 9-23
Basics of FTC Structure....Pages 25-39
PnP Process Monitoring and Control Architecture....Pages 41-55
Real-Time Configuration Techniques for PnP Process Monitoring....Pages 57-83
Real-Time Configuration Techniques for PnP Performance Optimization....Pages 85-108
Benchmark Study and Real-Time Implementation....Pages 109-133
Back Matter....Pages 135-149