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Calibration and Signal Processing of MPU6050 Sensor to Improve Navigation Stability of Autonomous Underwater Vehicle (AUV) Putro, Permono Adi; Pinardi, Kuntjoro; Ramadhan, Aditia; Zein, Aulia Sultan Rafael; Nurfalah, Yokeu
TIME in Physics Vol. 3 No. 1 (2025): March
Publisher : Universitas Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/timeinphys.2025.v3i1p31-44

Abstract

A stable and accurate navigation system is crucial for the operation of Autonomous Underwater Vehicles (AUVs), especially in underwater environments where GPS signals are unavailable. This study aims to enhance AUV navigation performance by optimizing the use of a low-cost inertial sensor, the MPU6050, through calibration and signal processing techniques. The methodology includes reading raw data from accelerometer and gyroscope sensors, performing static calibration to reduce bias and noise, applying Fast Fourier Transform (FFT) for signal analysis, and implementing digital filters such as low-pass and high-pass filters. The raw data reveal significant deviations due to gyroscope bias and accelerometer noise. Static calibration effectively reduces systematic errors, although residual biases remain. FFT analysis identifies dominant frequency components in each axis, while digital filtering helps eliminate irrelevant frequency noise. Precision testing demonstrates that the sensor produces relatively stable data post-calibration, with the Z-axis showing higher deviation compared to the X and Y axes. The combination of calibration and signal processing methods significantly improves the data quality and reliability of the MPU6050 sensor. This research contributes to the development of more efficient and low-cost AUV navigation systems and supports the broader application of simple IMU sensors in underwater exploration and maritime technologies.
Power and performance analysis of UUV motor systems with torpedo capabilities using to support the indonesian navy's maritime operations Aldhiantoro, Gustav Irgi; Pinardi, Kuntjoro; Kusumadjati, Adhi; Putri Abdul, Annisa Mutiara; Dewi, Dinda Rahma; Baarik, Moh. Hisni Alfan; Palupi, Endah Kinarya
International Journal of Applied Mathematics, Sciences, and Technology for National Defense Vol 3, No 1 (2025): International Journal of Applied Mathematics, Sciences, and Technology for Natio
Publisher : FoundAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/app.sci.def.v3i1.651

Abstract

Unmanned Underwater Vehicles (UUVs) play a crucial role in modern naval operations, particularly in Intelligence, Surveillance, and Reconnaissance (ISR) and Anti-Submarine Warfare (ASW). Their stealth and long-range capabilities provide strategic advantages, yet extended missions pose significant challenges due to power limitations. This study proposes a novel approach to predicting and managing UUV battery capacity for missions lasting up to 30 days. Utilizing OpenModelica, we simulate various operational scenarios by modeling the Direct Current Permanent Magnet (DCPM) motor and its interaction with propulsion systems under different mission profiles including patrol, standby, and attack phases to estimate power consumption and optimize endurance. The results demonstrate key strategies for enhancing UUV autonomy and operational flexibility through advanced power management. These findings contribute to the development of more efficient UUV systems capable of prolonged underwater missions with minimal recharging.