Abstract
Real-time and dynamic monitoring of oceanic eddies by ocean vehicles is an essential part of the layout of the national ocean observation network. In this paper, the mesoscale eddy environment is constructed, and a near-real-time simulation platform for ocean observation is established with the autonomous surface underwater vehicle (ASUV) as the observer. Then, a cluster observation strategy based on the virtual leader structure and ocean characteristic estimation method is proposed, so that vehicles can search and track the eddy centre and front through autonomous perception. In the end, the simulation experiments of eddy observation with multi-vehicle are carried out, which further verifies the practicability of the simulation platform and the validity of the observation strategy.
This work was partially supported by the Fundamental Research Funds for the Central Universities (Grant No. 201962010).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Sun, W., Dong, C., Wang, R., et al.: Vertical structure anomalies of oceanic eddies in the K uroshio E xtension region. J. Geophys. Res. Oceans 122(2), 1476–1496 (2017)
Ren, Q., Fei, Y.U., Shuo, L.I., et al.: Analysis on the experimental data acquired from the sea tests for domestic underwater glider in the South China sea in 2014. J. Ocean Technol. 036, 52–57 (2017)
Zhang, Y., Kieft, B., Hobson, B.W., et al.: Autonomous tracking and sampling of the deep chlorophyll maximum layer in an open-ocean eddy by a long-range autonomous underwater vehicle. IEEE J. Oceanic Eng. 45(4), 1308–1321 (2019)
Zhao, W., Yu, J., Zhang, F., et al.: Tracking moving mesoscale eddies with underwater gliders under autonomous prediction and control. Control. Eng. Pract. 113, 104839 (2021)
Zhang, S., Zhang, A., Yu, J.: Ocean observing with underwater glider in South China Seas. In: 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), pp. 1109–1114. IEEE (2015)
Hwang, C., Wu, C.R., Kao, R.: TOPEX/Poseidon observations of mesoscale eddies over the Subtropical Countercurrent: kinematic characteristics of an anticyclonic eddy and a cyclonic eddy. J. Geophys. Res. Oceans 109(C8) (2004)
Yang, G., Wang, F., Li, Y., et al.: Mesoscale eddies in the northwestern subtropical Pacific Ocean: Statistical characteristics and three-dimensional structures. J. Geophys. Res. Oceans 118(4), 1906–1925 (2013)
Matsuoka, D., Araki, F., Sasaki, H.: Event detection and visualization of ocean eddies simulated by ocean general circulation model. Int. J. Model. Simul. Sci. Comput. 10(03), 1950018 (2019)
Zong, Z., Xiong, X.J., Liu, Y.H., et al.: The method of mesoscale eddy observation using underwater lider. Adv. Mar. Sci. 2 (2018). (in Chinese)
Xin, B., Zhang, J., Chen, J., et al.: Overview of research on transformation of multi-AUV formations. Complex Syst. Model. Simul. 1(1), 1–14 (2021)
Song, D., Gan, W., Yao, P., et al.: Guidance and control of autonomous surface underwater vehicles for target tracking in ocean environment by deep reinforcement learning. Ocean Eng. 250, 110947 (2022)
Nie, Y., Luan, X., Gan, W., et al.: Design of marine virtual simulation experiment platform based on Unity3D. In: Global Oceans 2020: Singapore-US Gulf Coast, pp. 1–5. IEEE (2020)
Chen, L., Jin, Y., Yin, Y.: Ocean wave rendering with whitecap in the visual system of a maritime simulator. J. Comput. Inf. Technol. 25(1), 63–76 (2017)
Zhao, W.T., Yu, J.C., Zhang, A.Q., et al.: Dynamic characteristic detection of mesoscale eddies based on SLA data. J. Mar. Sci. 3, 62–68 (2016)
Leonard, N.E., Fiorelli, E.: Virtual leaders, artificial potentials and coordinated control of groups. In: Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No. 01CH37228), vol. 3, pp. 2968–2973. IEEE (2001)
Wang, X., Wang, X., Yu, M., et al.: MesoGRU: deep learning framework for mesoscale eddy trajectory prediction. IEEE Geosci. Remote Sens. Lett. 19, 1–5 (2021)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Gan, W., Song, D., Qu, X. (2022). Design of Oceanic Eddy Simulation Platform for Autonomous Ocean Vehicles. In: Fan, W., Zhang, L., Li, N., Song, X. (eds) Methods and Applications for Modeling and Simulation of Complex Systems. AsiaSim 2022. Communications in Computer and Information Science, vol 1713. Springer, Singapore. https://doi.org/10.1007/978-981-19-9195-0_21
Download citation
DOI: https://doi.org/10.1007/978-981-19-9195-0_21
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-9194-3
Online ISBN: 978-981-19-9195-0
eBook Packages: Computer ScienceComputer Science (R0)