An investigation into the merits of fuzzy logic control versus classical control.

dc.contributor.authorFlorence, Stuart Douglas.
dc.date.accessioned2018-06-14T09:42:26Z
dc.date.available2018-06-14T09:42:26Z
dc.date.issued1996
dc.descriptionA 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.en_ZA
dc.description.abstractUp 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.en_ZA
dc.description.librarianAndrew Chakane 2018en_ZA
dc.identifier.urihttps://hdl.handle.net/10539/24641
dc.language.isoenen_ZA
dc.subjectAutomatic control.en_ZA
dc.subjectFuzzy logic.en_ZA
dc.titleAn investigation into the merits of fuzzy logic control versus classical control.en_ZA
dc.typeThesisen_ZA

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