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.ContentsPnP Process Monitoring and Control ArchitectureReal-Time Configuration Techniques for PnP Process MonitoringReal-Time Configuration Techniques for PnP Performance OptimizationBenchmark Study and Real-Time ImplementationTarget GroupsResearchers and students of Automation and Control EngineeringPractitioners in the area of Industrial and Production EngineeringThe AuthorHao 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.