Control system design using artificial intelligence

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dc.contributor.advisorBraae, Martinen_ZA
dc.contributor.authorTebbutt, Colin Deanen_ZA
dc.date.accessioned2015-11-08T04:44:14Z
dc.date.available2015-11-08T04:44:14Z
dc.date.issued1991en_ZA
dc.descriptionIncludes bibliography.en_ZA
dc.description.abstractSuccessful 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.identifier.apacitationTebbutt, C. D. (1991). <i>Control system design using artificial intelligence</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/14697en_ZA
dc.identifier.chicagocitationTebbutt, Colin Dean. <i>"Control system design using artificial intelligence."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 1991. http://hdl.handle.net/11427/14697en_ZA
dc.identifier.citationTebbutt, C. 1991. Control system design using artificial intelligence. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Tebbutt, Colin Dean AB - 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. DA - 1991 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 1991 T1 - Control system design using artificial intelligence TI - Control system design using artificial intelligence UR - http://hdl.handle.net/11427/14697 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/14697
dc.identifier.vancouvercitationTebbutt CD. Control system design using artificial intelligence. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 1991 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/14697en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Electrical Engineeringen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherElectrical Engineeringen_ZA
dc.subject.otherElectronic Engineeringen_ZA
dc.subject.otherExpert Systemsen_ZA
dc.subject.otherComputer Aided Control System Designen_ZA
dc.subject.otherLinear Systemsen_ZA
dc.subject.otherMultivariable Control Systemsen_ZA
dc.subject.otherMatrix Fractionsen_ZA
dc.subject.otherQuadratic Programmingen_ZA
dc.titleControl system design using artificial intelligenceen_ZA
dc.typeDoctoral Thesis
dc.type.qualificationlevelDoctoral
dc.type.qualificationnamePhDen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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