The development and evaluation of an intelligent supervisory system for process control.
Date
1991
Authors
Korpala, Andrzej
Journal Title
Journal ISSN
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Abstract
As 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.
Description
A 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.
Keywords
Process control -- Computer programs., Intelligent control systems., Feedback control systems -- Computer programs.