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Creation of GUI for optimization of electrical machines
Bártková, Tereza ; Klíma, Petr (referee) ; Knebl, Ladislav (advisor)
This work follows the development process of graphical user interface (GUI) spanning from choosing the right tools for implementation to the implementation itself. The purpose of the work was making the optimization program user-friendly by creating a communication layer between the optimization algorithm and the user and demonstrating its functions. First of all, the study of various programming languages and their toolkits regarding GUI programming was undertaken. Python was chosen because the original program is written in it, also software development in Python is probably the quickest one. Furthermore there are analyzed characteristics of this language and PyQt, which is a tool meant for GUI creation. The third chapter introduces very thoroughly the issues of electrical machines and their optimization. Introduction of these issues is followed by brief description of two optimization methods being used in electrical machines optimization. Following chapter introduces the actual machine under the optimization study, on which the final program was tested. Afterwards follows detailed description of application layout created in Qt Designer. New program structure enriched with graphical user interface is described and its functions are shown. Finally there is a guideline on how to use this program and the optimization is executed accordingly. Also, the results of the optimization are analyzed.
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Aplikace evolučního algoritmu na optimalizační úlohu vibračního generátoru
Nguyen, Manh Thanh ; Kovář, Jiří (referee) ; Hadaš, Zdeněk (advisor)
This thesis will deal with the use of artificial intelligence methods for solving optimization problems with multiple variables. A theorethical part presents problems of global optimization and overview of solution methods. For practical reasons, special attention is paid to evolutionary algorithms. The subject of optimization itself is energy harvester based on a piezoelectric effect. Its nature and modeling is devoted to one chapter. A part of the thesis is the implementation of the SOMA algorithm for finding the optimal parameters of the generator for maximum performance.
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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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Optimalization of vibration microgenerator
Kurfűrst, Jiří ; Hadaš, Zdeněk (referee) ; Ondrůšek, Čestmír (advisor)
The article describes how to produce energy necessary for sensor supply. These generators are used as a local source operating on vibratory principle. Mechanical vibrations that occur in moving machines, in nature etc. are used in order to gain required energy. So are kinesis principles and analysis employed in some of the avaible generators. It also contains patent and literary background research. Work is oriented to solving mechatronic perimeter, in the concrete micro - generator. Mechatronic perimeter piles from seat power control parts and mechanical parts, where common solving equation system leads to correct solving. Mentioned analyses be of consequence for usage optimization methods artificial intelligence. Optimization method are used on optimum solving proposal micro - generator. To inquest dynamism system was used program Simulink (part of MATLAB), generator is buckthorn for f = 17 [Hz] acceleration yam = 0,5g [ms-2]. As a algorithm is used SOMA – All to one.
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Algorithms for Movement Control of Bipedal Robot
Pokorný, Jan ; Janoušek, Vladimír (referee) ; Martinek, David (advisor)
This thesis is focused on using softcomputing method for learning bipedal robot to walk. Robot is represented by virtual model. At the beginning are the motivation and reasons for processing this theme. Next is devised shape of the robot which will be used. Then are selected libraries used by simulation. Further is devised system of robot learning algorithms. The most important of them is SOMA which is therefore described more. Due to assumed computational complexity is part of thesis focused on optimalization and simplification. One chapter focuses on measurement of quality of solution approximation. At the end there is an evaluation of thesis results.
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Variation of the Evolutionary Algorithm for Dynamic Problems
Pokorný, Jan ; Bidlo, Michal (referee) ; Schwarz, Josef (advisor)
This study is focused on SOMA evolution algorithm and testing its versions aimed to solve dynamic problems. At the beginning it briefly explains principes of evolution algorithms and then it looks closer on SOMA algorithm. It describes its contemporary troubles for static and dynamic problems. There are also mentioned ways for their correction. It also describes the mostly used strategies -- All To One, All To Random, All To All and All To All Adaptive and shows their advantages and disadvantages. Furthermore another searching strategy is proposed focused on dynamic functions that are changing independently on program. The separate chapter is about project part of the study. There is described implementation and merging of used programs. This part is available on included CD along with results of testing strategies. Tables with average values are also part of the thesis.
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Generator for aircraft application HUMS
Zelda, Jan ; Huzlík, Rostislav (referee) ; Hadaš, Zdeněk (advisor)
Presented diploma thesis deals with development of the autonomous electric energy source for Health and Usage Monitoring Systems placed at the rear part of a helicopter. Firstly, the HUMS systems were described briefly and the research of available energy sources was made after that. After that, the magnetic properties of the materials were described with the special focus on the permanent magnets. The draft also includes the creation of model of the magnetic field using the final element method. Prototype was assembled and the other design solutions were evaluated. The evaluation of various designs passed in the use of SOMA optimization algorithms. The generator is followed by the draft of the electronics, which streamlines and regulates a voltage supplied by the generator. At the end of the thesis, the complete source prototype was assembled and tested with two different regulators
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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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Rotor Slot Shape Optimization of an Induction Machine
Szekeres, Vojtech ; Ondrůšek, Čestmír (referee) ; Bárta, Jan (advisor)
This thesis is dealing with optimization by using artificial intelligence of an induction machine rotor slot. The one optimized is commonly manufactured induction motor with simple deep bar rotor. Goal is to design an optimization method and achieve the highest possible value of efficiency and power factor of chosen machine. Work contains the parametric model construction in Ansys Maxwell software, the optimization algorithm assembly and its setup for desirable output, and processing of the results.
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