Skip to main content

Depth Tracking Control of Unmanned Underwater Vehicle with Roll Suppression

  • Conference paper
  • First Online:
Intelligent Robotics and Applications (ICIRA 2024)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 15206))

Included in the following conference series:

  • 14 Accesses

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Zhang, J., Xiang, X., Li, W., Zhang, Q.: Adaptive neural control of flight-style AUV for subsea cable tracking under electromagnetic localization guidance. IEEE/ASME Trans. Mechatron. 28(5), 2976–2987 (2023)

    Article  MATH  Google Scholar 

  2. Junbao, Z., Shuo, L., Ya, L.: Application of unmanned underwater vehicles in polar research. Adv. Polar Sci. 32(3), 173–184 (2021)

    MATH  Google Scholar 

  3. Ahmed, F., Xiang, X., Jiang, C., Xiang, G., Yang, S.: Survey on traditional and AI based estimation techniques for hydrodynamic coefficients of autonomous underwater vehicle. Ocean Eng. 268, 113300 (2023)

    Article  MATH  Google Scholar 

  4. Zhang, Q., Zhang, J., Chemori, A., Xiang, X.: Virtual submerged floating operational system for robotic manipulation. Complexity 2018, 1–18 (2018)

    Article  MATH  Google Scholar 

  5. Wang, Z., Xiang, X., Duan, Y., Yang, S.: Adversarial deep reinforcement learning based robust depth tracking control for underactuated autonomous underwater vehicle. Eng. Appl. Artif. Intell. 130, 107728 (2024)

    Article  Google Scholar 

  6. Manzanilla, A., Ibarra, E., Salazar, S., Zamora, Á.E., Lozano, R., Munoz, F.: Super-twisting integral sliding mode control for trajectory tracking of an unmanned underwater vehicle. Ocean Eng. 234, 109164 (2021)

    Article  Google Scholar 

  7. Yang, Y., Xiao, Y., Li, T.: A survey of autonomous underwater vehicle formation: performance, formation control, and communication capability. IEEE Commun. Surv. Tutor. 23(2), 815–841 (2021)

    Article  MATH  Google Scholar 

  8. González-García, J., Gómez-Espinosa, A., Cuan-Urquizo, E., García-Valdovinos, L.G., Salgado-Jiménez, T., Escobedo Cabello, J.A.: Autonomous underwater vehicles: localization, navigation, and communication for collaborative missions. Appl. Sci. 10(4), 1256 (2020)

    Article  Google Scholar 

  9. Li, J., Xiang, X., Yang, S.: Robust adaptive neural network control for dynamic positioning of marine vessels with prescribed performance under model uncertainties and input saturation. Neurocomputing 484, 1–12 (2022)

    Article  MATH  Google Scholar 

  10. Li, J., Xiang, X., Dong, D., Yang, S.: Prescribed time observer based trajectory tracking control of autonomous underwater vehicle with tracking error constraints. Ocean Eng. 274, 114018 (2023)

    Article  MATH  Google Scholar 

  11. Fossen, T.I.: Handbook of Marine Craft Hydrodynamics and Motion Control. Wiley, Hoboken (2011)

    Book  MATH  Google Scholar 

  12. Dong, D., Xiang, X., Li, J., Duan, Y., Ahmed, F., Yang, S.: Robust adaptive model-free depth tracking control of under-actuated LAUV with experimental results. Ocean Eng. 306, 117989 (2024)

    Article  Google Scholar 

  13. Dong, D., Xiang, X., Li, J., Yang, S.: Iterative learning–based model-free adaptive precise heading following of an autonomous underwater vehicle with unknown disturbances. Trans. Inst. Meas. Control 01423312241227539 (2024)

    Google Scholar 

  14. Do, K.D., Pan, J.: Control of Ships and Underwater Vehicles: Design for Underactuated and Nonlinear Marine Systems. Springer (2009)

    Google Scholar 

  15. Fossen, T.I., Pettersen, K.Y., Galeazzi, R.: Line-of-sight path following for Dubins paths with adaptive sideslip compensation of drift forces. IEEE Trans. Control Syst. Technol. 23(2), 820–827 (2014)

    Article  MATH  Google Scholar 

  16. Fossen, T.I.: An adaptive line-of-sight (ALOS) guidance law for path following of aircraft and marine craft. IEEE Trans. Control Syst. Technol. 31(6), 2887–2894 (2023)

    Article  MATH  Google Scholar 

  17. Hou, Z., Jin, S.: Model Free Adaptive Control. Taylor & Francis (2013)

    Google Scholar 

Download references

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).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xianbo Xiang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2025 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

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

Download citation

  • DOI: https://doi.org/10.1007/978-981-96-0792-1_9

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-96-0791-4

  • Online ISBN: 978-981-96-0792-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics