Kalman Filter and PID Application on Underwater Vehicles

Objective & Hypothesis:Unmanned underwater vehicles (ROV/AUV) are autonomous or remotely controlled robotic systems that can move underwater at any desired angle.

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Key Findings & Data:Unmanned underwater vehicles; It is used in areas such as underwater image taking, ship maintenance and repair, coast guard, examination of shipwrecks, underwater cleaning.

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Conclusion & Impact:As a result of the research on software and hardware integration, microcontroller ARM-based STM32 was used.

🔬Design:Research Article

📍Scope:Comprehensive Sample

⚙️Variables:AUV (Atonomus Underwater Vehicle) · ARM (Acorn RISC Machine) · IMU (Inertial Measurement Unit)

Abstract

Unmanned underwater vehicles (ROV/AUV) are autonomous or remotely controlled robotic systems that can move underwater at any desired angle. Unmanned underwater vehicles; It is used in areas such as underwater image taking, ship maintenance and repair, coast guard, examination of shipwrecks, underwater cleaning. In this study, the software design of the balance control of underwater vehicles was carried out using the PID algorithm. For the PID algorithm trial, a two-motor test setup with an IMU sensor was prepared. After the data from the sensor were recorded in MATLAB using the Kalman filter, the transfer function of the system was obtained using the System Identification Toolbox. With the obtained transfer function, the stable operation of the system is provided in real time. As a result of the research on software and hardware integration, microcontroller ARM-based STM32 was used.

Keywords

AUV (Atonomus Underwater Vehicle)ARM (Acorn RISC Machine)IMU (Inertial Measurement Unit)Kalman Filter PID (Proportional Integral Derivative)ROV (Remoted Operating Vehicle)

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Cite This Article

Budak, S., Tekin, M. H., Durdu, A., Sungur, C. (2022). Kalman Filter and PID Application on Underwater Vehicles. Turkish Journal of Forecasting, Volume: 06 Issue: 1. https://doi.org/10.34110/forecasting.1125559

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