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PMSM Drive Sensorless Control
Graf, Miroslav ; Blaha, Petr (referee) ; Václavek, Pavel (advisor)
Bachelor's thesis "PMSM Drive Sensorless Control" concerns about stage reconstructors by PMSM drive control. It describes Model Reference Adaptive System and Kalman filter. Both stage reconstructor are practically implemented at microprocessor and using the method "target in the loop" the functionality of both reconstructors is verified.
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Synchronous Machine Sensorless Control
Mališ, Martin ; Veselý, Libor (referee) ; Václavek, Pavel (advisor)
The goal of this thesis is to deal with comparison of algorithms in the field of sensorless control of permanent magnet synchronous motor. It is focused mainly on deterministic methods of estimation, verification of their dynamic responses and the influence of parasitic effects. Implementation of selected algortihms on DSP in fractional arithmetic with verification by Processor-in-the-loop method is described in second part. The last part describes use of algorithms on real drive.
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Algorithms of Electrical Drives State Estimation
Herman, Ivo ; Vavřín, Petr (referee) ; Václavek, Pavel (advisor)
This thesis deals with state estimation methods for AC drives sensorless control and with possibilities of the estimation. Conditions for observability for a synchronous drive were derived, as well as conditions for the moment of inertia and the load torque observability for both drive types - synchronous and asynchronous. The possibilities of the estimation were confirmed by experimental results. The covariance matrices for all filters were found using an EM algorithm. Both drives were also identified. The algoritms used for state estimation are Extended Kalman Filter, Unscented Kalman Filter, Particle Filters and Moving Horizon Estimator.
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Human detection in commercial applications
Černín, Jan ; Richter, Miloslav (referee) ; Horák, Karel (advisor)
The aim of the master thesis is to derive and implement image porcessing methods for people detection and tracking in images or videos. The overall solution was chosen as a combination of modern approaches and methods which were recently presented. The proposed algorithm is able to create trajectory of the person moving in indoor building spaces even under influence of full or partial occlusion for a short period of time. The scene of interest is surveyed by a static camera having direct view on targets. Selected methods are implemented in C# programming language based on OpenCV library. Graphical user interface was created to show the final output of algorithm.
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Reconstruction of conductor movement and monitoring of high voltage lines
Černín, Kamil ; Lilien, Jean-Louis (referee) ; Toman, Petr (advisor)
Tahle práce se zabývá monitorováním venkovních vysokonapěťových vedeních, což mohou být vedení od 70kV do 400kV. Senzory jsou umístěny na vodiči a hlavní myšlenkou je vyhodnotit mechanické chování vodičů, a to od nízkých frekvencí (zlomky Hz) až po vysoké frekvence (desítky Hz). Tahle práce se zabývala pohyby o nízkých frekvencích a vysokých amplitudách a popsala možnosti sestavení těchto pohybů na základě měření ze senzorů. Konkrétně se jedná o pohyby v případě silného větru, zkratu, opadávání ledu nebo dalších. Všechno tohle pomáhá operátorů dělat rozhodnutí ohledně provozování sítí. Vývoj zahrnuje přidání/kombinaci nových senzorů, popsání matematického algoritmu potřebného k sestavení pohybu na základě toho co bylo změřeno, ať už se jedná o hodnoty získané simulací, laboratorním testem nebo reálným měřením na vedení.
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Usage of advanced signal processing techniques for motor traffic safety enhancement
Beneš, Radek ; Říha, Kamil (referee) ; Atassi, Hicham (advisor)
This diploma thesis deals with the issue of the recognition of road signs in the video sequence. Such systems increase the traffic safety and are implemented by major car factories in the manufactured cars (Opel, BMW). First, the motivation for the utilisation of these systems is presented, followed by the survey of the current state of the art methods. Finally, a specific road-sign detection method is chosen and described in detail. The method uses advanced techniques of signal processing. Segmentation method in color space is used for sign detection and subsequent classification is accomplished by linear classification with optional use of PCA method. In addition, the method contains the prediction of road sign positions based on Kalman filtering. Implemented system yields relatively accurate results and overall analysis and discussion is enclosed.
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Outdoor Robot
Tomášek, Ondřej ; Burian, František (referee) ; Žalud, Luděk (advisor)
This work deals with navigation of the mobile outdoor robots. It is divided in two parts. In the first part, the mobile robots and their control problem is examined. The technical means for navigation and obstacles avoidance are described and the mathematical means for sensor data fusion and optimal position estimation of the robot are outlined. In the second part the hardware of the robot is described and furthermore it deals with description of the practically realized algorithms for obstacles avoidance and robot navigation.
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Multifunction data acquisition, measurement and control device
Trávníček, Ivo ; Vlachý, David (referee) ; Grepl, Robert (advisor)
The thesis deals with and tests the Multifunction data acquisition, measurement and control device. The unit is based on the microcontroller ATmega, which was programmed in the language C. The unit contains functions for the measurement of physical quantify, filtering record, regulation of the dynamic systems and communication with PC. Configuration of the unit is real-time in special software created in the language Matlab or by a terminal. The purpose of the unit is controlling a DC motor by the PID regulator, long-term measurement of temperature or measurement of acceleration by an accelerometer.
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Construction of a Market-Neutral ETF Portfolio: A Relative-Value Based Approach
Hlinšťák, David ; Málek, Jiří (advisor) ; Fičura, Milan (referee)
The study describes how cointegration-based techniques can be employed in order to construct profitable trading strategies that exploit mispricing events between similar securities. Particularly, the Johansen Maximum Likelihood Estimation and the Kalman filter approaches are applied to the universe of 200 most liquid ETF stocks traded on NYSE and NASDAQ. The results show that the strategies are quite sensitive to transaction costs, but are still able to maintain profitability even after accounting for a conservative level of transaction costs. While the Kalman filter produces better results on daily data, the 15-minute timeframe is dominated by portfolios constructed by the Johansen cointegration test. Both strategies achieve significantly higher risk-adjusted returns on the intraday timeframe. The study also reveals a performance decline of both strategies in the period of 2013-2015 and outlines possible interpretation of such event.
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