A project report submitted to the Faculty of
Engineering, University of the
Witwatersrand, Johannesburg, in partial
fulfilment of the requirements for the degree
of Master of Science in Engineering. / Up to now the benefits and problems with fuzzy control have not been fully
identified and its role in the control domain needs investigation. The past trend has
been to show that a fuzzy controller can provide better control than classical
control, without examining what is actually being achieved. The aim in this project
report is to give a fair comparison between classical and fuzzy control. Robustness,
disturbance rejection, noise suppression" nonminimurn phase and dead time are
examined for both controllers. The comparison is performed through computer
simulation of classical and fuzzy controlled plant models. Fuzzy control has the
advantage of non-linear performance and the ability to capture linguistic
information. Translating quantitative information into the fuzzy domain is difficult;
therefore when the system is easily mathematically modelled and linear, classical
control is usually better. Which controller should be used depends on the
application, control designer and information available. / Andrew Chakane 2018
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:wits/oai:wiredspace.wits.ac.za:10539/24641 |
| Date | January 1996 |
| Creators | Florence, Stuart Douglas. |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | application/pdf |
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