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. / 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. / Andrew Chakane 2018
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:wits/oai:wiredspace.wits.ac.za:10539/26239 |
| Date | January 1991 |
| Creators | Korpala, Andrzej |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | application/pdf |
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