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The MEMS sensors usability for position detection
Bobalík, Lukáš ; Sedláček, Jiří (referee) ; Žák, Jaromír (advisor)
Within this Master’s thesis, design and construction of a strapdown inertial navigation system based on MEMS sensors is described. The thesis includes theoretic analysis of physics behind determining the position of an object based on the object’s aceleration and changes in the object’s orientation in space. Included is also an overview of mathematical methods related to the position calculation.
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Navigation algorithm for INS/GPS Data Fusion
Pálenská, Markéta ; Ing.Petr Bojda,Ph.D. (referee) ; Čižmár, Jan (advisor)
Diplomová práce se zabývá návrhem algoritmu rozšířeného Kalmanova filtru, který integruje data z inerciálního navigačního systému (INS) a globálního polohovacího systému (GPS). Součástí algoritmu je i samotná mechanizace INS, určující na základě dat z akcelerometrů a gyroskopů údaje o rychlosti, zeměpisné pozici a polohových úhlech letadla. Vzhledem k rychlému nárůstu chybovosti INS je výstup korigován hodnotami rychlosti a pozice získané z GPS. Výsledný algoritmus je implementován v prostředí Simulink. Součástí práce je odvození jednotlivých stavových matic rozšířeného Kalmanova filtru.
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Integration of inertial navigation with global navigation satellite system
Štefanisko, Ivan ; Otava, Lukáš (referee) ; Blaha, Petr (advisor)
This paper deals with study of inertial navigation, global navigation satellite system, and their fusion into the one navigation solution. The first part of the work is to calculate the trajectory from accelerometers and gyroscopes measurements. Navigation equations calculate rotation with quaternions and remove gravity sensed by accelerometers. The equation’s output is in earth centred fixed navigation frame. Then, inertial navigation errors are discussed and focused to the bias correction. Theory about INS/GNSS inte- gration compares different integration architecture. The Kalman filter is used to obtain navigation solution for attitude, velocity and position with advantages of both systems.
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Quadrocopter - Sensory Subsytem
Bradáč, František ; Šolc, František (referee) ; Žalud, Luděk (advisor)
This diploma thesis deals with processing of measured data from inertial navigation system in order these could be used for stabilization. There is general information about aerial vehicles called copters with emphasis on four-rotor construction called quadrocopter at first. Then mathematical model of quadrocopter in state space form is derived, the particular implementation of university developed quadrocopter is described and the design of data processing algorithm is presented with measured results. Finally achieved results are discussed.
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Inertial navigation system
Homolka, Martin ; Šebesta, Jiří (referee) ; Tejmlová, Lenka (advisor)
This bachelor’s thesis deals with project of inertial navigation system, composed of modules, GPS, compass, gyroscope and accelerometer. It explores communication and action between them and solves the control circuit design in the form of single-chip microcontroller. After that, appropriate combination of modules will be selected from available products and circuit connections will be proposed, supplemented by portable storage medium. After loading the firmware, this creates an inertial navigation system, which is able to write the current position to portable storage medium, even in the case of GPS signal failure.
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Inertial navigation system for mobile phones
Jakl, Michal ; Čábelka, Miroslav (advisor) ; Janata, Tomáš (referee)
This thesis deals with the possibility of connecting inertial navigation sensors (accelerometer, magnetometer and gyroscope) to determine with the highest precision the position of the user without the help of GPS or other networks. This is inherently connected with the need to deal with many sources of errors, which are connected with this positioning method. The research section describes the principle and history of selected navigation methods and current trends in the use of inertial positioning or navigation methods. The methodical part deals with the design of a system able to determine with the highest accuracy the current position of the user from different input conditions. It is designed to obtain the necessary data from both the sensors and the user and their subsequent processing and use to render the user's position. The application section then describes the practical procedure for creating an Android mobile OS application output and in the discussion part is presented and evaluated the knowledge of testing both during the creation and in the final survey among the test users. The conclusion evaluates the goals and summarizes the practical possibilities and limits of the usability of these positioning methods in mobile phones. It also provides suggestions for further development and...
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Inertial navigation system
Homolka, Martin ; Šebesta, Jiří (referee) ; Tejmlová, Lenka (advisor)
This bachelor’s thesis deals with project of inertial navigation system, composed of modules, GPS, compass, gyroscope and accelerometer. It explores communication and action between them and solves the control circuit design in the form of single-chip microcontroller. After that, appropriate combination of modules will be selected from available products and circuit connections will be proposed, supplemented by portable storage medium. After loading the firmware, this creates an inertial navigation system, which is able to write the current position to portable storage medium, even in the case of GPS signal failure.
|
|
|
Navigation algorithm for INS/GPS Data Fusion
Pálenská, Markéta ; Ing.Petr Bojda,Ph.D. (referee) ; Čižmár, Jan (advisor)
Diplomová práce se zabývá návrhem algoritmu rozšířeného Kalmanova filtru, který integruje data z inerciálního navigačního systému (INS) a globálního polohovacího systému (GPS). Součástí algoritmu je i samotná mechanizace INS, určující na základě dat z akcelerometrů a gyroskopů údaje o rychlosti, zeměpisné pozici a polohových úhlech letadla. Vzhledem k rychlému nárůstu chybovosti INS je výstup korigován hodnotami rychlosti a pozice získané z GPS. Výsledný algoritmus je implementován v prostředí Simulink. Součástí práce je odvození jednotlivých stavových matic rozšířeného Kalmanova filtru.
|
|
|
Integration of inertial navigation with global navigation satellite system
Štefanisko, Ivan ; Otava, Lukáš (referee) ; Blaha, Petr (advisor)
This paper deals with study of inertial navigation, global navigation satellite system, and their fusion into the one navigation solution. The first part of the work is to calculate the trajectory from accelerometers and gyroscopes measurements. Navigation equations calculate rotation with quaternions and remove gravity sensed by accelerometers. The equation’s output is in earth centred fixed navigation frame. Then, inertial navigation errors are discussed and focused to the bias correction. Theory about INS/GNSS inte- gration compares different integration architecture. The Kalman filter is used to obtain navigation solution for attitude, velocity and position with advantages of both systems.
|
|
|
The MEMS sensors usability for position detection
Bobalík, Lukáš ; Sedláček, Jiří (referee) ; Žák, Jaromír (advisor)
Within this Master’s thesis, design and construction of a strapdown inertial navigation system based on MEMS sensors is described. The thesis includes theoretic analysis of physics behind determining the position of an object based on the object’s aceleration and changes in the object’s orientation in space. Included is also an overview of mathematical methods related to the position calculation.
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