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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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Optimization of the permanent magnet machine based on the artificial inteligence
Kurfűrst, Jiří ; Duroň,, Jiří (referee) ; Singule, Vladislav (referee) ; Ondrůšek, Čestmír (advisor)
The dissertation thesis deal with the design and the optimization of the permanent magnet synchronous machine (SMPM) based on the artificial intelligence. The main target is to apply potential optimization methods on the design procedure of the machine and evaluate the effectiveness of optimization and the optimization usefulness. In general, the optimization of the material properties (NdFeB or SmCo), the efficiency maximization with given nominal input parameters, the cogging torque elimination are proposed. Moreover, the magnet shape optimization, shape of the air gap and the shape of slots were also performed. The well known Genetic algorithm and Self-Organizing migrating algorithm produced in Czech were presented and applied on the particular optimization issues. The basic principles (iterations) and definitions (penalty function and cost function) of proposed algorithms are demonstrated on the examples. The results of the vibration generator optimization (VG) with given power 7mW (0.1g acceleration) and the results of the SMPM 1,1kW (6 krpm) optimization are practically evaluated in the collaboration with industry. Proposed methods are useful for the optimization of PM machines and they are further theoretically applied on the low speed machine (10 krpm) optimization and high speed machine (120 krpm) optimization.
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Cost Management in an Energy Company
Buš, Jan ; Ing.Martin Hroz (referee) ; Kocmanová, Alena (advisor)
The Bachelor thesis focuses on cost management in an energy company Adavak, s.r.o. Thesis is composed of theoretical and analytical part and of the proposals of the thesis. The theoretical part explains basic concepts and analyses, which are further used in the thesis. The analytical part describes the company and the calculation method and system for the production and sale of thermal energy. Final part of the thesis is focused on the proposals of the thesis, which are based on the analytical part and cost modelling. This part addresses planned increase in the volume of thermal energy sales, and its effects on price and costs.
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The Model of the Cost Function of the Factory
Juríček, Ľubomír ; Lašáková, Michaela (referee) ; Luňáček, Jiří (advisor)
Main theme of my bachelor thesis is classification of cost in the company Myjavská pekáreň s.r.o followed by construction of suitable model of the cost functions of the factory.. It includes theoretical approaches theoretical approaches and methods used in modeling of the cost function,simple analysis of current state of costs, data base and modeling of the cost function itself.
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Parallel genetic algorithm
Trupl, Jan ; Kobliha, Miloš (referee) ; Jaroš, Jiří (advisor)
The thesis describes design and implementation of various evolutionary algorithms, which were enhanced to use the advantages of parallelism on the multiprocessor systems along with ability to run the computation on different machines in a computer network. The purpose of these algorithms is to find the global extreme of function of $n$ variables. In the thesis, there are demonstrated various optimization problems, and their effective solution with the help of evolutionary algorithms. There are also described interface libraries MPI(Message Passing Interface) and OpenMP, in the extent needed to understand the problematic of parallel evolutionary algorithms.
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Cost Management in an Energy Company
Buš, Jan ; Ing.Martin Hroz (referee) ; Kocmanová, Alena (advisor)
The Bachelor thesis focuses on cost management in an energy company Adavak, s.r.o. Thesis is composed of theoretical and analytical part and of the proposals of the thesis. The theoretical part explains basic concepts and analyses, which are further used in the thesis. The analytical part describes the company and the calculation method and system for the production and sale of thermal energy. Final part of the thesis is focused on the proposals of the thesis, which are based on the analytical part and cost modelling. This part addresses planned increase in the volume of thermal energy sales, and its effects on price and costs.
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The Model of the Cost Function of the Factory
Juríček, Ľubomír ; Lašáková, Michaela (referee) ; Luňáček, Jiří (advisor)
Main theme of my bachelor thesis is classification of cost in the company Myjavská pekáreň s.r.o followed by construction of suitable model of the cost functions of the factory.. It includes theoretical approaches theoretical approaches and methods used in modeling of the cost function,simple analysis of current state of costs, data base and modeling of the cost function itself.
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Parallel genetic algorithm
Trupl, Jan ; Kobliha, Miloš (referee) ; Jaroš, Jiří (advisor)
The thesis describes design and implementation of various evolutionary algorithms, which were enhanced to use the advantages of parallelism on the multiprocessor systems along with ability to run the computation on different machines in a computer network. The purpose of these algorithms is to find the global extreme of function of $n$ variables. In the thesis, there are demonstrated various optimization problems, and their effective solution with the help of evolutionary algorithms. There are also described interface libraries MPI(Message Passing Interface) and OpenMP, in the extent needed to understand the problematic of parallel evolutionary algorithms.
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