Abstract
Due to the torque characteristics of the propeller during rotation, the unmanned underwater vehicle (UUV) will produce a roll effect, which is unfavourable for UUV that require precise detection. How to design a control algorithm to weaken or even eliminate the roll effect is a topic worthy of study. This paper first analyzes the roll effect of the UUV, designs a rudder force distribution strategy for the cross-shaped structure, and proposes a model-free adaptive roll suppression based on the online/offline I/O data-driven reorganization state iterative learning (IL-MFAC) method. This method consists of iterative learning control law, parameter updating law and reset criterion. It is designed only using the online/offline I/O parameters of the controlled system and is a typical data-driven control algorithm. Finally, through numerical simulation, the effectiveness and superiority of this algorithm in UUV roll suppression were confirmed.
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Acknowledgments
This work is partially supported by Hubei Provincial Natural Science Foundation, China for Innovation Groups (No. 2021CFA026), and National Natural Science Foundation of China (No. 52071153, No. 52131101).
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Dong, D., Xiang, X., Li, J., Yang, S. (2025). Depth Tracking Control of Unmanned Underwater Vehicle with Roll Suppression. In: Lan, X., Mei, X., Jiang, C., Zhao, F., Tian, Z. (eds) Intelligent Robotics and Applications. ICIRA 2024. Lecture Notes in Computer Science(), vol 15206. Springer, Singapore. https://doi.org/10.1007/978-981-96-0792-1_9
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DOI: https://doi.org/10.1007/978-981-96-0792-1_9
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