Control system design using artificial intelligence

 

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dc.contributor.advisor Braae, Martin en_ZA
dc.contributor.author Tebbutt, Colin Dean en_ZA
dc.date.accessioned 2015-11-08T04:44:14Z
dc.date.available 2015-11-08T04:44:14Z
dc.date.issued 1991 en_ZA
dc.identifier.citation Tebbutt, C. 1991. Control system design using artificial intelligence. University of Cape Town. en_ZA
dc.identifier.uri http://hdl.handle.net/11427/14697
dc.description Includes bibliography. en_ZA
dc.description.abstract Successful multivariable control system design demands knowledge, skill and creativity of the designer. The goal of the research described in this dissertation was to investigate, implement, and evaluate methods by which artificial intelligence techniques, in a broad sense, may be used in a design system to assist the user. An intelligent, interactive, control system design tool has been developed to fulfil this aim. The design tool comprises two main components; an expert system on the upper level, and a powerful CACSD package on the lower level. The expert system has been constructed to assist and guide the designer in using the facilities provided by the underlying CACSD package. Unlike other expert systems, the user is also aided in formulating and refining a comprehensive and achievable design specification, and in dealing with conflicts which may arise within this specification. The assistance is aimed at both novice and experienced designers. The CACSD package includes a synthesis program which attempts to find a controller that satisfies the design specification. The synthesis program is based upon a recent factorization theory approach, where the linear multivariable control system design problem is translated into, and techniques efficiency solved as, a quadratic programming problem, which significantly improve the time and space of this method have been developed, making it practical to solve substantial multivariable design problems using only a microcomputer. The design system has been used by students at the University of Cape Town. Designs produced using the expert system tool are compared against those produced using classical design methods. en_ZA
dc.language.iso eng en_ZA
dc.subject.other Electrical Engineering en_ZA
dc.subject.other Electronic Engineering en_ZA
dc.subject.other Expert Systems en_ZA
dc.subject.other Computer Aided Control System Design en_ZA
dc.subject.other Linear Systems en_ZA
dc.subject.other Multivariable Control Systems en_ZA
dc.subject.other Matrix Fractions en_ZA
dc.subject.other Quadratic Programming en_ZA
dc.title Control system design using artificial intelligence en_ZA
dc.type Thesis / Dissertation en_ZA
uct.type.publication Research en_ZA
uct.type.resource Thesis en_ZA
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Engineering & the Built Environment en_ZA
dc.publisher.department Department of Electrical Engineering en_ZA
dc.type.qualificationlevel Doctoral en_ZA
dc.type.qualificationname PhD en_ZA
uct.type.filetype Text
uct.type.filetype Image


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