Predictive and adaptive extremal control

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dc.contributor.advisorMcLaren, S Gen_ZA
dc.contributor.authorKimmel, Ivrianien_ZA
dc.date.accessioned2015-01-27T08:51:18Z
dc.date.available2015-01-27T08:51:18Z
dc.date.issued1976en_ZA
dc.description.abstractThe time-optimal predictive control strategy for second order relay or bang-bang control systems is investigated along with modifications of this strategy for third order systems. One basis of this strategy is the utilization of a model, a replica of the plant, run in a fast-time mode so as to obtain the future output of the plant under the present input. Based upon these measurements, corrections to the plant may be implemented to achieve the desired response. The concept of the fast model is a useful one in that it falls into the synthesis of the more general time-optimal trajectory and switching functions for various second, third and higher order plants. However the difficulties in providing the exact time-optimal control for these plants result in the generation of acceptable sub-optimal and near time-optimal strategies. The nature of plant sensitivity, parameter variation and identification are investigated as well as a novel self-adoptive controller which dispenses with the identification phase but identifies a certain surface in the state space and establishes a stable sub-optimal control strategy. These control techniques are applied to a small DC motor with responses close to time-optimal.en_ZA
dc.identifier.apacitationKimmel, I. (1976). <i>Predictive and adaptive extremal control</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/12293en_ZA
dc.identifier.chicagocitationKimmel, Ivriani. <i>"Predictive and adaptive extremal control."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 1976. http://hdl.handle.net/11427/12293en_ZA
dc.identifier.citationKimmel, I. 1976. Predictive and adaptive extremal control. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Kimmel, Ivriani AB - The time-optimal predictive control strategy for second order relay or bang-bang control systems is investigated along with modifications of this strategy for third order systems. One basis of this strategy is the utilization of a model, a replica of the plant, run in a fast-time mode so as to obtain the future output of the plant under the present input. Based upon these measurements, corrections to the plant may be implemented to achieve the desired response. The concept of the fast model is a useful one in that it falls into the synthesis of the more general time-optimal trajectory and switching functions for various second, third and higher order plants. However the difficulties in providing the exact time-optimal control for these plants result in the generation of acceptable sub-optimal and near time-optimal strategies. The nature of plant sensitivity, parameter variation and identification are investigated as well as a novel self-adoptive controller which dispenses with the identification phase but identifies a certain surface in the state space and establishes a stable sub-optimal control strategy. These control techniques are applied to a small DC motor with responses close to time-optimal. DA - 1976 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 1976 T1 - Predictive and adaptive extremal control TI - Predictive and adaptive extremal control UR - http://hdl.handle.net/11427/12293 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/12293
dc.identifier.vancouvercitationKimmel I. Predictive and adaptive extremal control. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 1976 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/12293en_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.titlePredictive and adaptive extremal controlen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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