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Multiaxis feedback cooling of particle in optical trap
Číž, Adam ; Adámek, Roman (referee) ; Brablc, Martin (advisor)
This thesis deals with a design and implementation of algorithms for multiaxis feedback cooling (which means positional control) of a particle in an optical trap with use of Kalman filter. Two control methods are proposed here, each of which is intended for use of a different actuator: a laser intensity modulator or a pair of electrodes. Next, the implementation of both methods on hardware with an FPGA is described. Functioning of both proposed algorithms is proven by a numerical simulation. In addition, the functioning of the control using electrodes is demonstrated by an experiment with an optical trap. The second method is fully prepared for use in an experiment.
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Stabilization of macroscopic particle in optical trap
Mlynář, Vojtěch ; Matěj, Zdeněk (referee) ; Brablc, Martin (advisor)
Cílem této práce je implementace a otestování algoritmů pro zpětnovazební stabilizaci částice v optické pasti. Tyto algoritmy jsou implementovány v programovatelném hradlovém poli Red Pitaya STEMlab 125-14 s využitím automatického generování kódu z modelů v programu Simulink. V práci je popsán fyzikální základ řízeného systému, jeho návaznost na teorii Kálmánova filtru, detaily implementovaných algoritmů v FPGA a procedury využité pro odhad parametrů. Implementované algoritmy byly úspěšně otestovány na reálné sestavě a výsledky jsou ukázány v závěru práce.
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Correlation analysis of optically trapped particle motion
Koudelníček, Karel ; Jákl,, Petr (referee) ; Harabiš, Vratislav (advisor)
This bachelor’s thesis deals with the description of random (Brownian) motion of microscopic particle trapped by optical trap. This thesis provides overview of possible usage in biology. The major part of the thesis is dedicated to description of methods that allow characterize optical trap with etc. stiffness thanks to the random motion. First, the estimation methods are tested on the simulated data. Before using these methods for real data, it was necessary to modify them, specifically to eliminate crosstalk and frequency noise. The differences in the estimation of the stiffness from the autocorrelation function and the power spectrum were described in the conclusion.
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Noise reduction in LASER source device for optical trap
Gajzler, Vojtěch ; Adámek, Roman (referee) ; Brablc, Martin (advisor)
This work focuses on the reduction of noise in a laser source to increase the efficiency of an optical trap. The first part describes the issue of noise, methods of noise suppression, and the Red Pitaya control board. The following section thoroughly describes the program development using Simulink and Xilinx Vivado. Furthermore, the method of noise reduction using a PI controller is described. The conclusion of the work is focused on evaluating the experiment to verify the effectiveness of noise reduction.
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Stabilization of macroscopic particle in optical trap
Mlynář, Vojtěch ; Matěj, Zdeněk (referee) ; Brablc, Martin (advisor)
Cílem této práce je implementace a otestování algoritmů pro zpětnovazební stabilizaci částice v optické pasti. Tyto algoritmy jsou implementovány v programovatelném hradlovém poli Red Pitaya STEMlab 125-14 s využitím automatického generování kódu z modelů v programu Simulink. V práci je popsán fyzikální základ řízeného systému, jeho návaznost na teorii Kálmánova filtru, detaily implementovaných algoritmů v FPGA a procedury využité pro odhad parametrů. Implementované algoritmy byly úspěšně otestovány na reálné sestavě a výsledky jsou ukázány v závěru práce.
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Correlation analysis of optically trapped particle motion
Koudelníček, Karel ; Jákl,, Petr (referee) ; Harabiš, Vratislav (advisor)
This bachelor’s thesis deals with the description of random (Brownian) motion of microscopic particle trapped by optical trap. This thesis provides overview of possible usage in biology. The major part of the thesis is dedicated to description of methods that allow characterize optical trap with etc. stiffness thanks to the random motion. First, the estimation methods are tested on the simulated data. Before using these methods for real data, it was necessary to modify them, specifically to eliminate crosstalk and frequency noise. The differences in the estimation of the stiffness from the autocorrelation function and the power spectrum were described in the conclusion.
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