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Plug-and-Play monitoring and performance optimization for industrial automation processes [electronic resource]

Plug-and-Play monitoring and performance optimization for industrial automation processes [electronic resource]

Material type
E-Book(소장)
Personal Author
Luo, Hao.
Title Statement
Plug-and-Play monitoring and performance optimization for industrial automation processes [electronic resource] / Hao Luo.
Publication, Distribution, etc
Wiesbaden :   Springer Vieweg,   c2017.  
Physical Medium
1 online resource (xvii, 149 p.) : col. ill.
ISBN
9783658159276 9783658159283 (eBook)
요약
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. Contents 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 Target Groups Researchers and students of Automation and Control Engineering Practitioners in the area of Industrial and Production Engineering The Author 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.
General Note
Title from e-Book title page.  
Content Notes
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.
Bibliography, Etc. Note
Includes bibliographical references (p.[141]-149).
이용가능한 다른형태자료
Issued also as a book.  
Subject Added Entry-Topical Term
Plug and play (Computer architecture).
Short cut
URL
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100 1 ▼a Luo, Hao.
245 1 0 ▼a Plug-and-Play monitoring and performance optimization for industrial automation processes ▼h [electronic resource] / ▼c Hao Luo.
260 ▼a Wiesbaden : ▼b Springer Vieweg, ▼c c2017.
300 ▼a 1 online resource (xvii, 149 p.) : ▼b col. ill.
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references (p.[141]-149).
505 0 ▼a 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.
520 ▼a 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. Contents 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 Target Groups Researchers and students of Automation and Control Engineering Practitioners in the area of Industrial and Production Engineering The Author 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.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Plug and play (Computer architecture).
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=https://doi.org/10.1007/978-3-658-15928-3
945 ▼a KLPA
991 ▼a E-Book(소장)

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/e-Book Collection/ Call Number CR 004.22 Accession No. E14014296 Availability Loan can not(reference room) Due Date Make a Reservation Service M

Contents information

Table of Contents

Intro -- Acknowledgements -- Contents -- List of Figures -- List of Tables -- Nomenclature -- 1 Introduction -- 1.1 Background and motivation -- 1.1.1 FDI and FTC in complex industrial systems -- 1.1.2 PnP control concept -- 1.2 Objective of the work -- 1.3 Outline of the thesis -- 2 Basics of Process Monitoring Techniques -- 2.1 Mathematical description of automatic control processes -- 2.1.1 Description of nominal system behavior -- 2.1.2 Coprime factorization technique -- 2.1.3 Description of systems with disturbances -- 2.1.4 Description of systems with faults -- 2.2 Model-based residual generation techniques -- 2.2.1 Kernel representation and fault detection filter -- 2.2.2 Diagnostic observer -- 2.2.3 Parity space approach -- 2.2.4 Interconnections between DO and PS schemes -- 2.3 Data-driven residual generation techniques -- 2.3.1 SIM-aided process monitoring -- 2.3.2 Data-driven design of residual generator -- 2.4 Residual evaluation and decision making -- 2.4.1 Residual evaluation strategies -- 2.4.2 Threshold setting and decision making -- 2.5 Multivariate statistical process monitoring techniques -- 2.6 Concluding remarks -- 3 Basics of FTC Structure -- 3.1 Standard feedback control structure -- 3.2 Well-posedness and internal stability -- 3.2.1 Well-posedness -- 3.2.2 Internal stability -- 3.3 Image representation and state feedback control -- 3.4 Parameterization of stabilizing controllers -- 3.5 Model uncertainty and robustness -- 3.5.1 Small gain theorem -- 3.5.2 Coprime factor uncertainty -- 3.6 The fault-tolerant control architecture -- 3.7 Concluding remarks -- 4 PnP Process Monitoring and Control Architecture -- 4.1 Problem formulation -- 4.2 Scalability of feedback control systems -- 4.3 The PnP process monitoring and control architecture -- 4.3.1 The PnP-PMCA -- 4.3.2 Comparison with the fault-tolerant control architecture -- 4.3.3 Industrial implementation of the PnP-PMCA -- 4.4 PnP control strategies for new actuators and sensors -- 4.4.1 PnP control strategy for new actuators -- 4.4.2 PnP control strategy for new sensors -- 4.5 Concluding remarks -- 5 Real-Time Configuration Techniques for PnP Process Monitoring -- 5.1 Adaptive observer-based configuration -- 5.1.1 The canonical forms of LTI state-space systems -- 5.1.2 Adaptive configuration approach -- 5.2 Iterative configuration approach -- 5.2.1 The input/output normal form -- 5.2.2 Iterative configuration approach -- 5.3 Process monitoring with deterministic disturbance -- 5.3.1 Preliminaries related to the model-based solution -- 5.3.2 A data-driven process monitoring approach -- 5.4 Concluding remarks -- 6 Real-Time Configuration Techniques for PnP Performance Optimization -- 6.1 Control performance assessment system -- 6.2 Internal stability of the PnP-PMCA -- 6.2.1 Closed-loop dynamics of the PnP-PMCA -- 6.2.2 Constraints on closed-loop internal stability -- 6.3 Control performance optimization in PnP-PMCA -- 6.3.1 Iterative robustness optimization -- 6.3.2 Iterative tracking performance optimization -- 6.4 Convergence analysis -- 6.5 Concluding remarks -- 7 Benchmark Study and Real-Time Implementation -- 7.1 Application to rolling mill benchmark -- 7.1.1 General description of rolling mill system -- 7.1.2 PnP process monitoring and disturbance compensation system -- 7.1.3 Roll eccentricity monitoring and compensation module -- 7.1.4 Case study and simulation results -- 7.2 Real-time implementation on BLDC motor test rig -- 7.2.1 Description of the test rig -- 7.2.2 HIL simulation result -- 7.3 Concluding remarks -- 8 Conclusions and Future Work -- A Proof of Theorem 4.2 -- Bibliography -- .

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