Real-Time Navigation Date-Driven Heading Control Algorithm of USV Based on Backstep** Method with Unknown Model Parameters

  • Conference paper
  • First Online:
Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) (ICAUS 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1175))

Included in the following conference series:

  • 129 Accesses

Abstract

The control problem for the USV model with uncertain parameters is addressed by employing the extended Kalman filter identification method. This approach facilitates the estimation of the corresponding model parameters, which are continuously corrected in real time through a recursive mode. Based on the modified model, a backstep** control strategy is designed to determine the optimal control rudder angle. With the inclusion of the correction component, the improved backstep heading controller exhibits better adaptability to model perturbations and interferences. Simulation results demonstrate that, in comparison to traditional PID control, the improved backstep heading controller achieves higher heading accuracy, shorter setting time, smaller overshoot amplitude, irrespective of environmental interferences.

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

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /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
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Wu, B., Zhou, J., Song, X.M., et al.: Design of discrete adaptive sliding mode controller for unmanned surface vehicle. Navig. China 44(3), 126–133 (2021)

    Google Scholar 

  2. Chu, S.X., Mao, Y.S., Dong, Z.P., et al.: Parameter identification of high-speed usv maneuvering response model based on maximum likelihood algorithm. Acta Armamentarii 41(1), 127–134 (2020)

    Google Scholar 

  3. **e, S., Chu, X.M., Liu, C.G., et al.: Parameter identification of ship motion model based on multi-innovation methods. J. Mar. Sci. Technol. 25(1), 162–184 (2020)

    Article  Google Scholar 

  4. Dong, C., Shang, H., Du, M.X.: Estimation of lithium-ion battery SOC based on extended kalman filtering. Manuf. Autom. 36(11), 21–23 (2014)

    Google Scholar 

  5. Cheng, J.W.: Design and simulation of adaptive Backstep** controller for ship course. Dalian Maritime University, Dalian (2018)

    Google Scholar 

  6. Chu, S.X.: Research on parameter identification of unmanned surface vehicle maneuverability based on RLS method. Wuhan University of Technology, Wuhan (2020)

    Google Scholar 

  7. Mahapatra, S., Subudhi, B.: Nonlinear matrix inequality approach based heading control for an autonomous underwater vehicle with experimental realization. IFAC J. Syst. Control 16, 100138 (2021)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wei Wang .

Editor information

Editors and Affiliations

Copyright information

© 2024 Bei**g HIWING Scientific and Technological Information Institute

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wang, W., Xu, P., Wang, L., Zhou, W., Dong, Z. (2024). Real-Time Navigation Date-Driven Heading Control Algorithm of USV Based on Backstep** Method with Unknown Model Parameters. In: Qu, Y., Gu, M., Niu, Y., Fu, W. (eds) Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023). ICAUS 2023. Lecture Notes in Electrical Engineering, vol 1175. Springer, Singapore. https://doi.org/10.1007/978-981-97-1095-9_38

Download citation

Publish with us

Policies and ethics

Navigation