Format:
1 Online-Ressource (158 pages)
ISBN:
9783658159283
Series Statement:
Resarch
Content:
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
Content:
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
Content:
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
Content:
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
Content:
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
Content:
6.3 Control performance optimization in PnP-PMCA
Note:
Description based upon print version of record
,
Dissertation Universität Duisburg-Essen 2016
Additional Edition:
9783658159276
Additional Edition:
Erscheint auch als Druck-Ausgabe Luo, Hao, 1984 - Plug-and-play monitoring and performance optimization for industrial automation processes Wiesbaden : Springer Vieweg, 2017 3658159278
Additional Edition:
9783658159276
Language:
English
Keywords:
Prozessüberwachung
;
Fehlertoleranz
;
Plug-and-Play
;
Modularität
;
Prozessregelung
;
Reglerentwurf
;
Beobachter
;
Echtzeitverarbeitung
;
Leistungssteigerung
;
Benchmark
;
Electronic books
;
Hochschulschrift
URL:
Volltext
(lizenzpflichtig)
Bookmarklink
