National Repository of Grey Literature 6 records found  Search took 0.01 seconds. 
MEMS Inertial Sensor
Mihaľko, Juraj ; Rášo, Peter (referee) ; Beneš, Petr (advisor)
The aim of this master’s thesis was to describe the basic measurement methods for measurement of inertial sensor, their physical principles and errors. The next step was to select a specific parameter, then test it on a number of sensors and evaluate the results. Measurement of inertial sensors is very important for the parametrization of their errors and their subsequent mathematical model by which it is possible to minimize their impact on inertial navigation. The practical part is dedicated to the measurement of stability of the offset. Data acquisition card NI-USB 6215, which can supply two accelerometers at the same time using analog outputs, was used for data acquisition and power supply. It was tested on seven inertial sensor from four manufacturers. Two connection methods with NI-USB 6215, by whose it was determined which one is better to suppress the crosstalk between channels, were used for measurement. The NI PXI 4462 was used to verify that the NI-USB 6215 card is sufficient. The parameters for description of the changes in inertial sensors were established, transition between the initial and final value of the output measurement, variance of the values on which the sensor fixates after 72 iterations, and the fixation time of the sensor.
Modeling of Inertial Sensors
Trličík, Jakub ; Klusáček, Stanislav (referee) ; Beneš, Petr (advisor)
This master thesis deals with measurement and modeling of MEMS inertial sensors. This paper describes basic principles of inertial sensors along with their most often errors. The next part shows results from inertial sensor market analysis, which enabling a selection of sensors to be measured. The following two chapters present methods for inertial sensor modeling and testing. The biggest part of text is dedicated to presentation of measurement results showing us static measurement of Allan variance, Earth rotation, temperature dependent bias and dynamic measurement of gyroscope sensitivity testing over temperature. In the last part of the thesis is presented a design of sensor error model by autocorrelation function and Allan variance and also an evaluation of achieved results.
MEMS Inertial Sensor
Mihaľko, Juraj ; Rášo, Peter (referee) ; Beneš, Petr (advisor)
The aim of this master’s thesis is to describe the basic measurement methods of micro-electromechanical inertial sensor, their physical principles and errors. Measurement of inertial sensors is very important for the parameterization of their errors and their subsequent mathematical model by which it is possible to minimize the measurement error impact on inertial navigation. The practical part is dedicated to create automated measurement setup for measurement stability of the offset. Hardware and software from National Instruments is used in measurement chain. The work is next focused on measuring seven inertial sensors based on three different physical principles. In addition to creating measurement setup, we also defined three inertial sensor parameters, describing theoretical behavior of the sensor output.
MEMS Inertial Sensor
Mihaľko, Juraj ; Rášo, Peter (referee) ; Beneš, Petr (advisor)
The aim of this master’s thesis was to describe the basic measurement methods for measurement of inertial sensor, their physical principles and errors. The next step was to select a specific parameter, then test it on a number of sensors and evaluate the results. Measurement of inertial sensors is very important for the parametrization of their errors and their subsequent mathematical model by which it is possible to minimize their impact on inertial navigation. The practical part is dedicated to the measurement of stability of the offset. Data acquisition card NI-USB 6215, which can supply two accelerometers at the same time using analog outputs, was used for data acquisition and power supply. It was tested on seven inertial sensor from four manufacturers. Two connection methods with NI-USB 6215, by whose it was determined which one is better to suppress the crosstalk between channels, were used for measurement. The NI PXI 4462 was used to verify that the NI-USB 6215 card is sufficient. The parameters for description of the changes in inertial sensors were established, transition between the initial and final value of the output measurement, variance of the values on which the sensor fixates after 72 iterations, and the fixation time of the sensor.
Modeling of Inertial Sensors
Trličík, Jakub ; Klusáček, Stanislav (referee) ; Beneš, Petr (advisor)
This master thesis deals with measurement and modeling of MEMS inertial sensors. This paper describes basic principles of inertial sensors along with their most often errors. The next part shows results from inertial sensor market analysis, which enabling a selection of sensors to be measured. The following two chapters present methods for inertial sensor modeling and testing. The biggest part of text is dedicated to presentation of measurement results showing us static measurement of Allan variance, Earth rotation, temperature dependent bias and dynamic measurement of gyroscope sensitivity testing over temperature. In the last part of the thesis is presented a design of sensor error model by autocorrelation function and Allan variance and also an evaluation of achieved results.
MEMS Inertial Sensor
Mihaľko, Juraj ; Rášo, Peter (referee) ; Beneš, Petr (advisor)
The aim of this master’s thesis is to describe the basic measurement methods of micro-electromechanical inertial sensor, their physical principles and errors. Measurement of inertial sensors is very important for the parameterization of their errors and their subsequent mathematical model by which it is possible to minimize the measurement error impact on inertial navigation. The practical part is dedicated to create automated measurement setup for measurement stability of the offset. Hardware and software from National Instruments is used in measurement chain. The work is next focused on measuring seven inertial sensors based on three different physical principles. In addition to creating measurement setup, we also defined three inertial sensor parameters, describing theoretical behavior of the sensor output.

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