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Graphical LCD display
Kulka, Branislav ; Kaczmarczyk, Václav (referee) ; Bradáč, Zdeněk (advisor)
Bachelor's thesis "Graphical LCD Display" is focused on designing graphical diplaying unit for displaying industrial data, which is equipped with RS232/RS485 interface and digital inputs and outputs. Device is equipped with I51 series microcontroller. In this work MODBUS protocol is discussed and implemented. Data can be dispayed on circle scale or in form of bargraph indicators.
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Inertial Navigation Unit
Kulka, Branislav ; Kříž, Vlastimil (referee) ; Šolc, František (advisor)
This thesis is concerned with attitude estimation of small flying robots using low cost, small-sized inertial and magnetic sensors. A quaternion-based extended Kalman filter is used, which adaptively compensates external acceleration. External acceleration is the main source of estimation error. If external acceleration is detected, the accelerometer measurement covariance matrix of the Kalman filter is adjusted. The proposed algorithms are verified through experiments. Selected algorithm is implemented on STM32F4DISCOVERY development board.
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Graphical LCD display
Kulka, Branislav ; Kaczmarczyk, Václav (referee) ; Bradáč, Zdeněk (advisor)
Bachelor's thesis "Graphical LCD Display" is focused on designing graphical diplaying unit for displaying industrial data, which is equipped with RS232/RS485 interface and digital inputs and outputs. Device is equipped with I51 series microcontroller. In this work MODBUS protocol is discussed and implemented. Data can be dispayed on circle scale or in form of bargraph indicators.
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|
|
Inertial Navigation Unit
Kulka, Branislav ; Kříž, Vlastimil (referee) ; Šolc, František (advisor)
This thesis is concerned with attitude estimation of small flying robots using low cost, small-sized inertial and magnetic sensors. A quaternion-based extended Kalman filter is used, which adaptively compensates external acceleration. External acceleration is the main source of estimation error. If external acceleration is detected, the accelerometer measurement covariance matrix of the Kalman filter is adjusted. The proposed algorithms are verified through experiments. Selected algorithm is implemented on STM32F4DISCOVERY development board.
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