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Erschienen in:
Design of Fuzzy Supervisor-Based Adaptive Process Control Systems Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

7. Knowledge-Based Intelligent Process Control

verfasst von : Mihaela Oprea, Sanda Florentina Mihalache, Mădălina Cărbureanu

Erschienen in: New Approaches in Intelligent Control

Verlag: Springer International Publishing

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Abstract

In the last decades, the number of process control applications that use intelligent features has increased. This is mainly due to the complex and critical character of the process to be controlled. The intelligent process control systems works better than conventional control schemes in the domains of fault diagnosis (detection, cause analysis and repetitive problem recognition); complex control schemes; process and control performance monitoring and statistical process control; real time Quality Management; control system validation, startup and normal or emergency shutdown. Conventional control technologies use quantitative processing while knowledge-based integrates both qualitative and quantitative processing (having as target the increase of efficiency). This chapter presents an overview of intelligent process control techniques, from rule based systems, frame based systems (object oriented approach), hybrid systems (fuzzy logic and neural network). The focus is on expert systems and their extension, the knowledge based systems. Finally, an industrial case study is presented with conclusions to knowledge based systems limitations and challenges associated to real time implementation of the system.

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Metadaten
Titel
Knowledge-Based Intelligent Process Control
verfasst von
Mihaela Oprea
Sanda Florentina Mihalache
Mădălina Cărbureanu
Copyright-Jahr
2016
Buch
New Approaches in Intelligent Control

Print ISBN: 978-3-319-32166-0

Electronic ISBN: 978-3-319-32168-4

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-32168-4_7

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