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Examples of governings with predictive controls
Šalda, Zbyněk ; Švarc, Ivan (referee) ; Němec, Zdeněk (advisor)
This thesis deals with model predictive control principally Based Predictive Control (MPC). The first part describes the principle of predictive control, cost function, the choice of a constraints in regulation and the choice of weights. In the next section is an analysis system: a system with non-minimal phase (control water turbine), oscillating systems (trolley frame control) and system with a time-delay . In all of these systems is performed classical feedback control using PID control and concurrently regulation with the MPC. MPC is selected as the solution fy Mathworks Model Predictive Control Toolbox and Simulink. The results are then analyzed using the criteria of quality control.
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Integral quality criteria of regulation
Gruna, Jiří ; Cejpek, Zdeněk (referee) ; Dosoudilová, Monika (advisor)
This bachelor’s thesis deals with the assessment of the quality of regulation using integral criteria. In the first part we are interested in the basic theory of regulation needed to understand the problem. It includes a description of the control system, differential equations in the theory of transfer function, types of regulators and addresses the question of stability. In the second part the thesis introduces the integral criteria. Using their area, we assess the quality of regulation. For clarity, the criteria are supplemented by examples to show their advantages and disadvantages.
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Adaptive controller with continuous system identification
Horňan, Bohdan ; Švarc, Ivan (referee) ; Lang, Stanislav (advisor)
This bachelor thesis is focused on the issue of adaptive controllers. It is divided into two parts: theoretical and practical. The theoretical part deals with identification methods of dynamic systems and methods of optimizing parameters of controllers. In the practical part is designed an adaptive self-tuning controller that is able to adapt to changes of parameters of the plant. The recursive least square method is used to determine a transfer function of the plant. Software solution of the adaptive controller is implemented in Matlab & Simulink.
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Integral quality criteria of regulation
Gruna, Jiří ; Cejpek, Zdeněk (referee) ; Dosoudilová, Monika (advisor)
This bachelor’s thesis deals with the assessment of the quality of regulation using integral criteria. In the first part we are interested in the basic theory of regulation needed to understand the problem. It includes a description of the control system, differential equations in the theory of transfer function, types of regulators and addresses the question of stability. In the second part the thesis introduces the integral criteria. Using their area, we assess the quality of regulation. For clarity, the criteria are supplemented by examples to show their advantages and disadvantages.
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|
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Adaptive controller with continuous system identification
Horňan, Bohdan ; Švarc, Ivan (referee) ; Lang, Stanislav (advisor)
This bachelor thesis is focused on the issue of adaptive controllers. It is divided into two parts: theoretical and practical. The theoretical part deals with identification methods of dynamic systems and methods of optimizing parameters of controllers. In the practical part is designed an adaptive self-tuning controller that is able to adapt to changes of parameters of the plant. The recursive least square method is used to determine a transfer function of the plant. Software solution of the adaptive controller is implemented in Matlab & Simulink.
|
|
|
Examples of governings with predictive controls
Šalda, Zbyněk ; Švarc, Ivan (referee) ; Němec, Zdeněk (advisor)
This thesis deals with model predictive control principally Based Predictive Control (MPC). The first part describes the principle of predictive control, cost function, the choice of a constraints in regulation and the choice of weights. In the next section is an analysis system: a system with non-minimal phase (control water turbine), oscillating systems (trolley frame control) and system with a time-delay . In all of these systems is performed classical feedback control using PID control and concurrently regulation with the MPC. MPC is selected as the solution fy Mathworks Model Predictive Control Toolbox and Simulink. The results are then analyzed using the criteria of quality control.
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