Abstract
Shortly, it is expected to have hybrid marine scenarios in which manned and unmanned vehicles navigate in the same environment. The study of the interactions between autonomous and human-controlled vessels becomes essential to improve and make the control systems more resilient. For such a reason, this paper shows a simulation architecture to test the effectiveness of a guidance law in a target tracking scenario for surface navigation. The guidance logic is based on the idea of reaching and following a target when the future motion is unknown and only the instantaneous position and speed are available. The adopted guidance law can handle both the chasing and the following phases minimising the time needed to reach the chased vehicles. The actuators’ set-point generation is ensured by speed and heading controls, properly developed for this aim.
A cyber-physical testing scenario has been developed and can run in real-time. Both target and interceptor dynamics are based on detailed mathematical models in which the parameters have been validated by dedicated tank experiments. An operator remotely controls the target through a human-machine interface and tries to leave behind the autonomously controlled interceptor to make the simulation’s results more realistic.
At the end of the paper, the results are reported for investigation and the conclusions are drawn.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Alessandri, A., et al.: Dynamic positioning system of a vessel with conventional propulsion configuration: modeling and simulation, pp. 725–734 (2015). https://doi.org/10.1201/b17494-97
Alessandri, A., Donnarumma, S., Martelli, M., Vignolo, S.: Motion control for autonomous navigation in blue and narrow waters using switched controllers. J. Mar. Sci. Eng. 7(6), 196 (2019)
Altosole, M., Campora, U., Donnarumma, S., Zaccone, R.: Simulation techniques for design and control of a waste heat recovery system in marine natural gas propulsion applications. J. Mar. Sci. Eng. 7(11), 397 (2019). https://doi.org/10.3390/jmse7110397
Breivik, M., Hovstein, V., Fossen, T.: Straight-line target tracking for unmanned surface vehicles. MIC—Model. Identif. Control 29(4), 131–149 (2008). https://doi.org/10.4173/mic.2008.4.2
Breivik, M.: Topics in guided motion control of marine vehicles. Ph.D. thesis (2010)
Donnarumma, S., Figari, M., Martelli, M., Zaccone, R.: Simulation of the guidance and control systems for underactuated vessels. In: Mazal, J., Fagiolini, A., Vasik, P. (eds.) MESAS 2019. LNCS, vol. 11995, pp. 108–119. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-43890-6_9
Donnarumma, S., Zacearían, L., Alessandri, A., Vignolo, S.: Anti-windup synthesis of heading and speed regulators for ship control with actuator saturation. In: 2016 European Control Conference (ECC), pp. 1284–1290 (2016). https://doi.org/10.1109/ECC.2016.7810466
Draper, C.: Control, navigation, and guidance. IEEE Control Syst. Mag. 1(4), 4–17 (1981)
Fossen, T.I.: Handbook of Marine Craft Hydrodynamics and Motion Control. Wiley, Hoboken (2011)
Fossen, T.I., Breivik, M., Skjetne, R.: Line-of-sight path following of underactuated marine craft. IFAC Proc. Volumes 36(21), 211–216 (2003)
Fruzzetti, C., Donnarumma, S., Martelli, M.: Dynamic target chasing: parameters and performance indicators assessment. J. Mar. Sci. Technol. (Japan) 27(1), 712–729 (2022). https://doi.org/10.1007/s00773-021-00865-3
Haseltala, A., et al.: The collaborative autonomous shipping experiment (case): motivations, theory, infrastructure, and experimental challenges. In: International Ship Control Systems Symposium (iSCSS 2020). IMaReST (2020)
Huang, Y., Chen, L., Chen, P., Negenborn, R.R., Van Gelder, P.: Ship collision avoidance methods: state-of-the-art. Saf. Sci. 121, 451–473 (2020)
IMO: Maritime Safety Committee (MSC), 99th session (16-25 May 2018). https://www.imo.org/en/MediaCentre/MeetingSummaries/Pages/MSC-99th-session.aspx. Accessed 28 June 2021
IMO: Maritime Safety Committee (MSC), 100th session (3-7 December 2018). https://www.imo.org/en/MediaCentre/MeetingSummaries/Pages/MSC-100th-session.aspx. Accessed 28 June 2021
IMO: Maritime Safety Committee (MSC), 98th session (7-16 June 2017). https://www.imo.org/en/MediaCentre/MeetingSummaries/Pages/MSC-98th-session.aspx. Accessed 28 June 2021
Liu, Z., Zhang, Y., Yu, X., Yuan, C.: Unmanned surface vehicles: an overview of developments and challenges. Annu. Rev. Control 41, 71–93 (2016)
Martelli, M., Villa, D., Viviani, M., Donnarumma, S., Figari, M.: The use of computational fluid dynamic technique in ship control design. Ships Offshore Struct. 16(1), 31–45 (2021). https://doi.org/10.1080/17445302.2019.1706908
Oltmann, P., Sharma, S.D.: Simulation of combined engine and rudder maneuvers using an improved model of hull-propeller-rudder interactions. Technical report (1984)
Pedersen, N., Bojsen, T., Madsen, J.: Co-simulation of cyber physical systems with hmi for human in the loop investigations. In: Proceedings of the Symposium on Theory of Modeling & Simulation, pp. 1–12 (2017)
Piaggio, B., Garofano, V., Donnarumma, S., Alessandri, A., Negenborn, R., Martelli, M.: Follow-the-leader control strategy for azimuth propulsion system on surface vessels. In: Proceedings of the 2020 International Ship Control Systems Symposium (iSCSS 2020). Delft, The Netherlands (2020). https://doi.org/10.24868/issn.2631-8741.2020.004
Schiaretti, M., Chen, L., Negenborn, R.R.: Survey on autonomous surface vessels: Part I - a new detailed definition of autonomy levels. In: ICCL 2017. LNCS, vol. 10572, pp. 219–233. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-68496-3_15
Schiaretti, M., Chen, L., Negenborn, R.R.: Survey on autonomous surface vessels: Part II - categorization of 60 prototypes and future applications. In: ICCL 2017. LNCS, vol. 10572, pp. 234–252. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-68496-3_16
Sheridan, T.B., Verplank, W.L.: Human and computer control of undersea teleoperators. Technical report, Massachusetts Inst of Tech Cambridge Man-Machine Systems Lab (1978)
Shneydor, N.A.: Missile Guidance and Pursuit: Kinematics, Dynamics and Control. Elsevier, Amsterdam (1998)
Singh, Y., Sharma, S., Hatton, D., Sutton, R.: Optimal path planning of unmanned surface vehicles. Indian J. Geo-Mar. Sci. 47(7), 1325–1334 (2018)
Tam, C., Bucknall, R., Greig, A.: Review of collision avoidance and path planning methods for ships in close range encounters. J. Navig. 62(3), 455 (2009)
Wang, L., Wu, Q., Liu, J., Li, S., Negenborn, R.: State-of-the-art research on motion control of maritime autonomous surface ships. J. Mar. Sci. Eng. 7(12), 438 (2019)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Fruzzetti, C., Martelli, M. (2023). Unmanned Surface Vehicle Chase a Moving Target Remotely Controlled. In: Mazal, J., et al. Modelling and Simulation for Autonomous Systems. MESAS 2022. Lecture Notes in Computer Science, vol 13866. Springer, Cham. https://doi.org/10.1007/978-3-031-31268-7_14
Download citation
DOI: https://doi.org/10.1007/978-3-031-31268-7_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-31267-0
Online ISBN: 978-3-031-31268-7
eBook Packages: Computer ScienceComputer Science (R0)