LoRa SV611-Based Communication System To Monitor Behaviour of Rocket Using Inertial Measurement Unit Sensor

Misbahuddin Misbahuddin; Muhamat Taufik; I Made Budi  Suksmadana

doi:10.31258/ijeepse.5.2.30-36

Misbahuddin Misbahuddin University of Mataram, Indonesia
Muhamat Taufik University of Mataram, Indonesia
I Made Budi Suksmadana University of Mataram, Indonesia

DOI: https://doi.org/10.31258/ijeepse.5.2.30-36

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Keywords: Ground Control Station, LoRa V611, MPU-6050 Sensor, GPS Neo-7M, Raspberry Pi Rocket Payload

Abstract

A payload is a material carried by a rocket that acts as telemetry, monitoring environmental conditions and transmitting them to earth-based receiving stations. The goal of this study is to design, build, and test a rocket payload monitoring system that will track the rocket's position, behaviour, and trajectory. The rocket payload and the Ground Control Station are designed and manufactured separately (GCS). The payload is made up of a variety of components, including an Arduino Uno, an MPU-6050 sensor, a GPS Neo-7M, and a LoRa SV611 transmitter. The GCS is made up of a raspberry Pi, a LoRa SV611 receiver, USB TTL, and python idle. Pitch, roll, yaw, longitude, latitude, and altitude are among the six characteristics that the rocket payload monitoring system can track. The results of the tests show the rocket payload monitoring system can track six parameters and trajectory in real time with a high degree of accuracy. All payload measurement parameters are clearly displayed in the GCS interface as graphs that are updated every 1000 milliseconds.

References

M. Mudarris and S. G. Zain, “Implementasi Sensor Inertial Meansurenment Unit (IMU) untuk Monitoring Perilaku Roket,” Aviat. Electron. Inf. Technol. Telecommun. Electr. Control., vol. 2, no. 1, pp. 55–64, 2020.

A. Irawan, H. Rizal, S. S. Aryasa, and W. Adiprawita, “Attitude monitoring and surveillance system for Lapan payload test rocket,” in 2013 3rd International Conference on Instrumentation Control and Automation (ICA), pp. 155–160, 2013.

P. Musa, D. A. Christie, and E. P. Wibowo, “An Implementation of Direction Cosine Matrix in rocket payload dynamics attitude monitoring,” in 2016 International Conference on Informatics and Computing (ICIC), pp. 271–276, 2016.

O. Montenbruck, M. Markgraf, W. Jung, B. Bull, and W. Engler, “GPS based prediction of the instantaneous impact point for sounding rockets,” Aerosp. Sci. Technol., vol. 6, no. 4, pp. 283–294, 2002.

Z. Wei-wei, X. Jun, Z. Linrui, X. Qiang, and S. Lei, “Method of Acceleration Sensor Measurement in Full Speed Measurement of Rocket Sled,” in 2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE), pp. 18–20, 2019.

M. Albéri et al., “Accuracy of Flight Altitude Measured with Low-Cost GNSS, Radar and Barometer Sensors: Implications for Airborne Radiometric Surveys,” Sensors , vol. 17, no. 8. 2017.

Y.-Q. Jiang and Y.-D. Zhao, “Error compensation of MEMS gyroscope used in rocket artillery launcher disturbance detector,” in 2018 International Conference on Electronics Technology (ICET), pp. 188–192, 2018.

M. Pachwicewicz and J. Weremczuk, “Accuracy Estimation of the Sounding Rocket Navigation System,” in 2018 XV International Scientific Conference on Optoelectronic and Electronic Sensors (COE) pp. 1–4, 2018.

M. Bor, J. E. Vidler, and U. Roedig, “LoRa for the Internet of Things,” in International Conference on Embedded Wireless Systems and Networks (EWSN) 2016, pp. 361–366, 2016.

H. HUANG, X. ZHENG, and W. LI, “Design and feedforward control of large-rotation two-axis scan mirror assembly with MEMS sensor integration,” Chinese J. Aeronaut., vol. 32, no. 8, pp. 1912–1922, 2019.

R. Handayani, M. I. Sari, A. A. G. Agung, F. Ramdana, and A. Wahyudi, “Alert, monitoring and tracking for electronic device prototype,” in 2017 11th International Conference on Telecommunication Systems Services and Applications (TSSA), pp. 1–4, 2017.

I. InvenSense, “MPU-6000 and MPU-6050 Product Specification Revision 3.3,” 2012. [Online]. Available: https://cdn.sparkfun.com/datasheets/Components/General IC/PS-MPU-6000A.pdf. [Accessed: 03-Jan-2022].

A. Jiménez-Meza, J. Arámburo-Lizárraga, and E. de la Fuente, “Framework for Estimating Travel Time, Distance, Speed, and Street Segment Level of Service (LOS), based on GPS Data,” Procedia Technol., vol. 7, pp. 61–70, 2013.

M. Bor and U. Roedig, “LoRa transmission parameter selection”, in Proceedings - 2017 13th International Conference on Distributed Computing in Sensor Systems, DCOSS 2017, pp. 27–34, 2018.

Misbahuddin, L. Ahmad, S. I. Akbar, D. F. Budiman, and A. Natsir, “Compromise of 915 MHz LoRa Transmission Parameters in A Single-hop Uplink,” in 2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE), pp. 63–68, 2021.