National Repository of Grey Literature 11 records found  1 - 10next  jump to record: Search took 0.02 seconds. 
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.
Adaptive optimal controllers with principles of artificial intelligence
Burlak, Vladimír ; Dokoupil, Jakub (referee) ; Pivoňka, Petr (advisor)
This master's thesis considers adaptive optimal controllers. It shows principles of optimal controllers, recursive identification using least-mean squares method and identification based on neural network.
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.
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.
Adaptive optimal controllers with principles of artificial intelligence
Mrázek, Michal ; Malounek, Petr (referee) ; Pivoňka, Petr (advisor)
Master’s thesis describes adaptive optimal controller design which change parameters of algorithm based on the system information regard for optimal criterion. Generally, the optimal controller solves the problem of minimum states vector. Problems of desired value and steady-state error are solved by variation in optimization algorithm.
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.
Adaptive optimal controllers with principles of artificial intelligence
Burlak, Vladimír ; Dokoupil, Jakub (referee) ; Pivoňka, Petr (advisor)
This master's thesis considers adaptive optimal controllers. It shows principles of optimal controllers, recursive identification using least-mean squares method and identification based on neural network.
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.
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.
Adaptive optimal controllers with principles of artificial intelligence
Mrázek, Michal ; Malounek, Petr (referee) ; Pivoňka, Petr (advisor)
Master’s thesis describes adaptive optimal controller design which change parameters of algorithm based on the system information regard for optimal criterion. Generally, the optimal controller solves the problem of minimum states vector. Problems of desired value and steady-state error are solved by variation in optimization algorithm.

National Repository of Grey Literature : 11 records found   1 - 10next  jump to record:
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