The development and evaluation of an intelligent supervisory system for process control.

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dc.contributor.authorKorpala, Andrzej
dc.date.accessioned2018-12-20T07:07:49Z
dc.date.available2018-12-20T07:07:49Z
dc.date.issued1991
dc.descriptionA dissertation submitted to the Faculty of Engineering, University of the Witwatersrand, .Johannesburg, in fulfilment of the requirements for the degree of Master of Science in Engineering.en_ZA
dc.description.abstractAs industrial plants become more complex. there is a growing need for new approaches to control and supervision. This research investigates the issues involved in applying Artificial Intelligence (AI) techniques in the real-world engineering problem of process control supervision. Current AI theory is examined and some techniques modified to design a general-purpose, reactive planner. The planner forms the basis of a supervisory control system. The system is implemented and interfaced with an existing Laboratory plant, so that its performance can he tested and evaluated by comparing with a conventional feedback controller This real life testing necessitates explicit treatment of issues such as data: sampling. situation assessment and CPU scheduling. The case study shows that by combining AI techniques with conventional control, a system can be built which displays superior performance under normal operating conditions and which can deal with abnormal conditions such as equipment failures.en_ZA
dc.description.librarianAndrew Chakane 2018en_ZA
dc.identifier.urihttps://hdl.handle.net/10539/26239
dc.language.isoenen_ZA
dc.subjectProcess control -- Computer programs.en_ZA
dc.subjectIntelligent control systems.en_ZA
dc.subjectFeedback control systems -- Computer programs.en_ZA
dc.titleThe development and evaluation of an intelligent supervisory system for process control.en_ZA
dc.typeThesisen_ZA
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