Calibration of the SAIFE technological demonstrator's 3-axis gyroscope and 3-axis accelerometer

SAIFE (Synthetic Air Data and Inertial Reference System) is a miniaturized solution, suitable for modern aircraft, and can also be applied to UAVs and urban mobile aircraft. The content of this article is part of the SAIFE project. The project aims to demonstrate model-free technology up to TRL 6, using the most advanced sensors to directly measure inertial and air data. The work of the thesis was carried out in the laboratory of the Italian National Metrology Institute, and the fiber optic gyroscope and accelerometer were first calibrated. In the calibration of the gyroscope, the roundness detector, high-precision stepper motor, an Arduino development board are used to complete the construction of the test platform, and the Arduino development board and IDE tools are used to write the test program. This program will control the rotation speed of the stepper motor and direction. The rotating platform of the roundness detector is driven by a stepping motor, and the fiber optic gyroscope is fixed on the platform for testing. Test the three axes of the fiber optic gyroscope at a rate from 0°/s to 100°/s. The fiber optic gyroscope is connected to the PC, and the test data is collected using the developer software provided by KVH. In terms of accelerometer testing, the dynamic acceleration and vibration laboratory of INRiM will provide support. The accelerometer's working state will be 0Hz to100Hz, and the acceleration value will be between 0g-10g. Use Laser Vibrometer to test the performance of the accelerometer in low-frequency motion, and use Vibration Shaker to test the performance of the accelerometer in high-frequency motion. Use Sensonor's developer software to collect accelerometer data. The second step is to integrate the two sensors into the demonstrator of the SAIFE project, and perform speed rate test and acceleration test on the demonstrator. The demonstrator will automatically record the sensor data. All the above test data are processed using Excel tools, and the linear regression method is used for analysis in Excel. By comparing and analyzing the datasheets of the sensors, summarize and calibrate their actual performance.