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

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.

Study in the field of engineering Includes supplementary material: sn.pub/extras

Autorentext

Hao Luo received the Ph.D. degree at the Institute for Automatic Control and Complex Systems (AKS) at the University of Duisburg-Essen, Germany, in 2016. His research interests include model-based and data-driven fault diagnosis, fault-tolerant systems and their industrial applications.

Inhalt
PnP Process Monitoring and Control Architecture.- Real-Time Configuration Techniques for PnP Process Monitoring.- Real-Time Configuration Techniques for PnP Performance Optimization.- Benchmark Study and Real-Time Implementation.