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Control system for circle of coolig water
Kouřil, Jan ; Chomát, Luděk (referee) ; Pivoňka, Petr (advisor)
Main focus of bachelor thesis is to present practical construction of cooling circuit in customer quenching room, in all it's wide. From simple introduction to technological background (cooled technologies) and construction of circuit itself (cooling technologies), up to electronics control units, control algorithm and finaly IBM/PC based visualization under Control Web enviroment.
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Adaptive controllers with principles of artificial intelligence
Pitra, Michal ; Malounek, Petr (referee) ; Pivoňka, Petr (advisor)
The diploma thesis is focused on an adaptive control, especially in a self-tuning controller area. The thesis is divided into two main parts. The first part deals with identification methods of the adaptive control. The recursive least squares algorithm and the neural network method are the most popular identification methods. These methods are contrasted and the identification quality evaluation is done. The second part compares various types of the adaptive controllers with a non-adjustable PSD controller. The adaptive controllers are investigated from the various identification method point of view. The user graphic interface was realized for the identification and regulatory part. The time behavior of system responses after incoming disturbance and dynamic process changes during simulation systems control is compared with a physical model connected to B&R PLC. The comparison is done with the application of Matlab/Simulink program.
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Estimator in control systems with variable structure
Dvořáček, Martin ; Mikšánek, Vojtěch (referee) ; Pivoňka, Petr (advisor)
The thesis write about the linear discrete time incremental estimators. These are used for the choice of the best control system in systems with variable structure and further for direct control with status controller. There is an application of this on physical plane. In this paper PID variation controllers are discussed and optimized using Nelder-Mead Simplex Method. Feedback control with optimal PID is compared with control using linear discrete incremental estimators and status regulator.
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Object positioning in 3D space using parallel cable-driven robot
Rajnoha, Andrej ; Dokoupil, Jakub (referee) ; Pivoňka, Petr (advisor)
At the beginning of this master’s thesis the definition of types of robots using parallel kinematics are presented, its possibilities of usage and current prototypes are described. The second chapter focuses on the proposal of robot construction and sizing electric and non-electric components of robot hardware. Derivation of direct and inverse transform mechanisms with creating flowcharts of their algorithms are stated in the two following chapters. The state machine controlled from user interface is then programmed based on these flowcharts. At the end of the work, cable-driven robot positioning accuracy is evaluated and platform workspace, together with motion and electric parameters, are measured.
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Mathematic model of steam turbine
Kroliczek, Filip ; Dokoupil, Jakub (referee) ; Pivoňka, Petr (advisor)
The goal of this thesis was to create a mathematical model of a steam turbine based on the data acquired by measurement, and to verify its behaviour. The first part contains research, which is supposed to introduce basic principles of the steam turbine and description of important construction parts and the possibilities of control. The second part describes the experimental identification method of least squares, used for the calculation of an ARX model of the steam turbine. Finally, the last part focuses on the program environment used for creation of the mathematical model and explanation of measured data analysis process. Furthermore this segment describes the created simulation program as well as a visualisation of the dynamic processes in the steam turbine, including the design of control.
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Conrol of synchronous drives
Mrtvý, Bohuslav ; Malounek, Petr (referee) ; Pivoňka, Petr (advisor)
The document describe servo drive by B&R and the control algorithms with vector control. There is also mathematic model of synchronous motor, design of control the system of two connected motor and implementation these algorithms in to the PLC and Acopos. The Master’s Thesis contains confrontation of results of real system and ideal model.
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Performance, robustness and implementation of controllers
Buchta, Luděk ; Michal, Mrázek (referee) ; Pivoňka, Petr (advisor)
This master‘s thesis deals with the design of modern process control algorithms suitable for SISO industrial control equipments. In this thesis the analysis of the controller design methodology using Mixed-sensitivity function is described. This method consists in shaping frequency characteristics of the sensitivity function and complementary sensitivity fiction using the weighting functions. The proposed H controllers are compared with the classical structure of a discrete PID controller with filtered derivative part. The proposed controllers are compared in terms of robustness, performance, complexity of the design and requirements necessary for their practical application (anti-windup, smooth switchover). Robustness of the controller is evaluated on the basis of modulus stability margin. Estimation of model´s parameters is solved least-square method. The proposed control system consists of an industrial PC and Automation Panel from the company B&R, decentralized system I/O and the real plant. Visualization for control workplace was created in the program Automation studio. This visualization is used to the easy transfer of information from a controlled process.
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Monte Carlo-Based Identification Strategies for State-Space Models
Papež, Milan ; Havlena,, Vladimír (referee) ; Straka, Ondřej (referee) ; Pivoňka, Petr (advisor)
Stavové modely jsou neobyčejně užitečné v mnoha inženýrských a vědeckých oblastech. Jejich atraktivita vychází především z toho faktu, že poskytují obecný nástroj pro popis široké škály dynamických systémů reálného světa. Nicméně, z důvodu jejich obecnosti, přidružené úlohy inference parametrů a stavů jsou ve většině praktických situacích nepoddajné. Tato dizertační práce uvažuje dvě zvláště důležité třídy nelineárních a ne-Gaussovských stavových modelů: podmíněně konjugované stavové modely a Markovsky přepínající nelineární modely. Hlavní rys těchto modelů spočívá v tom, že---navzdory jejich nepoddajnosti---obsahují poddajnou podstrukturu. Nepoddajná část požaduje abychom využily aproximační techniky. Monte Carlo výpočetní metody představují teoreticky a prakticky dobře etablovaný nástroj pro řešení tohoto problému. Výhoda těchto modelů spočívá v tom, že poddajná část může být využita pro zvýšení efektivity Monte Carlo metod tím, že se uchýlíme k Rao-Blackwellizaci. Konkrétně, tato doktorská práce navrhuje dva Rao-Blackwellizované částicové filtry pro identifikaci buďto statických anebo časově proměnných parametrů v podmíněně konjugovaných stavových modelech. Kromě toho, tato práce adoptuje nedávnou particle Markov chain Monte Carlo metodologii pro návrh Rao-Blackwellizovaných částicových Gibbsových jader pro vyhlazování stavů v Markovsky přepínajících nelineárních modelech. Tyto jádra jsou posléze použity pro inferenci parametrů metodou maximální věrohodnosti v uvažovaných modelech. Výsledné experimenty demonstrují, že navržené algoritmy překonávají příbuzné techniky ve smyslu přesnosti odhadu a výpočetního času.
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Adaptive controllers with principles of artificial intelligence and its comparison with classical identifications methods
Dokoupil, Jakub ; Malounek, Petr (referee) ; Pivoňka, Petr (advisor)
This piece of work deals with a philosophy of design adaptive controller, which is based on knowledge of mathematical model controlled plant. This master thesis is focused on closed-loop on-line parametric identification methods. An estimation of model´s parametres is solved by two main concepts: recursive leastsquare algorithms and neural estimators. In case of least-squares algorithm the strategy of preventing the typical problems are solved here. For instance numerical stability, accurecy and restricted forgetting. Back Propagation and Marquardt- Levenberg algorithm were choosen to represent artificial inteligence. There is still a little supermacy on the side of methods based on least-squares algorithm. To compare individual algorithms the grafical interface in MATLAB/Simulink was created.
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