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DC Drive Optimal Control
Regent, David ; Blaha, Petr (referee) ; Václavek, Pavel (advisor)
Master‘s thesis contains the issue of positional control of the separate exciting DC motor. In the work is the creation of mathematical model. Next theme of document are questions of optimal control and method of solution LQ controler. The work is also a proposal state observer.
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Adaptive optimal controllers with principles of artificial intelligence
Samek, Martin ; Malounek, Petr (referee) ; Pivoňka, Petr (advisor)
Master’s thesis describes adaptive optimal controller design and it’s settings. Identification with principles of artificial intelligence and recursive least squares identification with exponential and directional forgetting are compared separately and as part of controller. Adaptive optimal controller is tested on physical model and compared with solidly adjusted PSD controller. Possibilities of implementation of adaptive optimal controller into programmable logic controller B&R are show and tested.
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Technological process simulation
Dostál, Jiří ; Veselý, Libor (referee) ; Malounek, Petr (advisor)
This paper deals with a design of an inverted pendulum model and its controller in Matlab/Simulink, a conversion of the model and its controller to the ANSI C language and its implementation to B&R PLC's. The source code for B&R PLC's is generated automatically by the B&R Automation Studio Target for Simulink library. The first part deals with the design of a mathematical model of the inverted pendulum and its simulation in Matlab/Simulink, followed by a design of a LQ controller for this model using Matlab functions and a description of the B&R Automation Studio Target for Simulink library. The last part of this paper deals with the implementation of the model and its controller into two separate B&R PLC's, which are networked with the Ethernet Powerlink industrial fieldbus and it also describes visualizations that were designed for operating the system.
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Optimization in control systems
Daniel, Martin ; Václavek, Pavel (referee) ; Pohl, Lukáš (advisor)
Master’s thesis deals with using a linear matrix inequality (LMI) in control of a dynamic systems. We can define a stability of a dynamic system with a LMI. We can use a LMI for research if the poles of a system are in a given regions in the left half-plane of the complex plane with a LMI or we can use a LMI for a state feedback control. In the work we describe a desing of a controller minimizing a norm from an input to an output of the system. There is also a desing of a LQ controller with a LMI. In the end of the work, there are two examples of a design a LQ controller, which minimize the norm from the input to the output of the system and moves a poles of a dynamic system in a given regions in the complex plane, with the LMI. We use a LMI for a design a continuos LQ controller in the first example. In the second example we use a LMI for a design a discrete LQ controller.
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Optimization in control systems
Daniel, Martin ; Václavek, Pavel (referee) ; Pohl, Lukáš (advisor)
Master’s thesis deals with using a linear matrix inequality (LMI) in control of a dynamic systems. We can define a stability of a dynamic system with a LMI. We can use a LMI for research if the poles of a system are in a given regions in the left half-plane of the complex plane with a LMI or we can use a LMI for a state feedback control. In the work we describe a desing of a controller minimizing a norm from an input to an output of the system. There is also a desing of a LQ controller with a LMI. In the end of the work, there are two examples of a design a LQ controller, which minimize the norm from the input to the output of the system and moves a poles of a dynamic system in a given regions in the complex plane, with the LMI. We use a LMI for a design a continuos LQ controller in the first example. In the second example we use a LMI for a design a discrete LQ controller.
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Technological process simulation
Dostál, Jiří ; Veselý, Libor (referee) ; Malounek, Petr (advisor)
This paper deals with a design of an inverted pendulum model and its controller in Matlab/Simulink, a conversion of the model and its controller to the ANSI C language and its implementation to B&R PLC's. The source code for B&R PLC's is generated automatically by the B&R Automation Studio Target for Simulink library. The first part deals with the design of a mathematical model of the inverted pendulum and its simulation in Matlab/Simulink, followed by a design of a LQ controller for this model using Matlab functions and a description of the B&R Automation Studio Target for Simulink library. The last part of this paper deals with the implementation of the model and its controller into two separate B&R PLC's, which are networked with the Ethernet Powerlink industrial fieldbus and it also describes visualizations that were designed for operating the system.
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Adaptive optimal controllers with principles of artificial intelligence
Samek, Martin ; Malounek, Petr (referee) ; Pivoňka, Petr (advisor)
Master’s thesis describes adaptive optimal controller design and it’s settings. Identification with principles of artificial intelligence and recursive least squares identification with exponential and directional forgetting are compared separately and as part of controller. Adaptive optimal controller is tested on physical model and compared with solidly adjusted PSD controller. Possibilities of implementation of adaptive optimal controller into programmable logic controller B&R are show and tested.
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