Modelling inertial measurement unit error parameters for an unmanned air vehicle

Yıl 2024, Cilt: 66 Sayı: 1, 64 - 81, 14.06.2024

Bağış Altınöz , Hüsamettin Eken , Anıl Cönger , Sultan Can

https://doi.org/10.33769/aupse.1308165

Öz

This paper demonstrates a study that focuses on the modeling, design, and realization of an Inertial Measurement Unit (IMU) component for the use of Unmanned Aerial Vehicles (UAV). The experimental data is obtained by multiple flights conducted by the realized UAV (Teknofest–SEMRUK team UAV). The structure is remodeled for increasing the accuracy, and performance of the UAV after the conducted flights. Noise parameters are estimated throughout the Allan variance analysis. MEMS technology-based capacitive-type accelerometers and gyroscopes are preferred. This paper also discusses the error types and compares the real data with the modeled simulation data. Systematic errors of the inertial sensors are simulated according to their datasheet parameters. Sensor filters and noise are modeled and they are also implemented in the simulation. Simulation results and UAV measurements are compared to observe the efficiency of modeling. A complementary filter is presented and combined with a magnetometer, accelerometer, and gyroscope to obtain the ultimate design. The comparison showed a satisfactory agreement among the complementary filter measurements and UAV measurements in the stable position and the results presented.

Anahtar Kelimeler

Complementary filter, inertial measurement unit, sensors, unmanned aerial vehicles

Destekleyen Kurum

Ankara üniversitesi BAP, TUSAŞ

Proje Numarası

21Ö0443002

Teşekkür

We gratefully acknowledge the financial support by Scientific Research Projects of Ankara University (BAP) under Grant no 21Ö0443002. We would also like to thank SEMRUK team members and Dr. Tolga İnal for their support and contribution to the Teknofest UAV competition and TUSAŞ lift-up projects.

Kaynakça

• Di Felice, F., Mazzini, A., Di Stefano, G., Romeo, G., Drone high-resolution infrared imaging of the Lusi mud eruption, Mar. Pet. Geo., 90 (2018), 38-51, https://doi.org/10.1016/j.marpetgeo.2017.10.025.
• Aydin, B., Selvi, E., Tao, J., Starek, M. J., Use of fire-extinguishing balls for a conceptual system of drone-assisted wildfire fighting, Drones, 3 (1) (2019), 17, https://doi.org/10.3390/drones3010017.
• Bodnar, L., Restas, A., Qiang, X., Conceptual approach of measuring the professional and economic effectiveness of drone applications supporting forest fire management, Procedia Eng., 211 (2018), 8-17, https://doi.org/10.1016/j.proeng.2017.12.132.
• Restas, A., Drone applications for supporting disaster management, World J. Eng. Technol., 3 (2015), 316-321, https://doi.org/10.4236/wjet.2015.33C047.
• Rao Mogili, U. M., Deepak, V. L., Review on application of drone systems in precision agriculture, Procedia Comp. Sci., 133 (2018), 502-509, https://doi.org/10.1016/j.procs.2018.07.063.
• Marinello, F., Pezzuolo, A., Chiumenti, A., Sartori, L., Technical analysis of unmanned aerial vehicles (drones) for agricultural applications, Eng. Rural Develop., (2016), 15.
• Morey, N. S., Mehere, P. N., Hedaoo, K., Agriculture drone for fertilizers and pesticides spraying, Int. J. Eng. App. Technol., 3 (5) (2017).
• Shaw, I., History of U. S. Drones, Thinking (In) Security, Political Philosophy, and Robots, (2014), https://understandingempire.wordpress.com/2-0-a-brief-history-of-u-sdrones/(2014).
• Stamp, J., Unmanned drones have been around since world war I [Online]. Retrieved from: http://www.smithsonianmag.com/arts-culture/unmanned-drones-have-beenaround-since-world-war-i-16055939/#ZOkewSDbAgEoRHhA.99.
• Luppicini, R., So, A., A technological review of commercial drone use in the context of governance, ethics, and privacy, Technol. Soc., 46 (2016), 109-119, https://doi.org/10.1016/j.techsoc.2016.03.003.
• DigiKey, (2011). Available at: https://www.digikey.com/en/articles/using-anaccelerometer-for-inclination-sensing. [Accessed May 2023].
• Allan variance: noise analysis for gyroscopes, (2015). Available at: https://telesens.co/wp-content/uploads/2017/05/AllanVariance5087-1.pdf. [Accessed May 2023].
• Qi, G., Ma, S., Guo, X., Li, X., Guo, J., High-order differential feedback control for quadrotor UAV: theory and experimentation, Electronics, 9 (12) (2020), 2001, https://doi.org/10.3390/electronics9122001.
• De Pasquale, G., Soma, A., Reliability testing procedure for MEMS IMUs applied to vibrating environments, Sensors, 10 (1) (2010), 456-474, https://doi.org/10.3390/s100100456.
• IEEE 952, IEEE standard specification format guide and test procedure for single-axis interferometric fiber optic gyros, (1997), https://doi.org/110.1109/IEEESTD.1998.86153.