Skip to main content
Log in

High Pressure Hosing-Drone Dynamics and Controls

  • Regular paper
  • Published:
Journal of Intelligent & Robotic Systems Aims and scope Submit manuscript

Abstract

Cleaning concrete bridges and overpasses is essential before inspections, but traditional methods put workers and commuters at risk of bodily harm. UAS for bridge and overpass cleaning is attractive because it keeps humans out of harm’s way while reducing cost and time required for cleanings. The challenge for a hosing-UAS is that high pressure flow required for cleaning produces high reaction forces and torques that can easily destabilize small, low-thrust vehicles. Other state-of-the-art hosing-UAS approaches “over-engineer” their solutions with vehicles with huge masses and arrays of propellers. This work presents results from an iterative modeling and design process with the goal of engineering “mechanically intelligent” smaller, more agile UAS tailored for specific hosing task constraints. The UAS consists of a UAV, actuated spraygun payload, hose, gas-powered pump, and base-station PC. Results from bench, simulation, and field testing are presented with detailed exposition of the dynamic modeling and controls design.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Data Availability

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

References

  1. Dailiana, H.Z., Kotsaki, D., Varitimidis, S., Moka, S., Bakarozi, M., Oikonomou, K., Malizos, N.K.: Injection injuries: seemingly minor injuries with major consequences. Hippokratia. 12(1), 33–36 (2008)

    Google Scholar 

  2. Fatality: injury from an air hose. https://www.imca-int.com/safety-events/fatality-injury-from-an-air-hose

  3. Butler, B.C. (1975) The effect of traffic lane closures on the highway motorist. In: 7th Summer meeting of the transportation research board

  4. Xie, F., Zheng, X., Triantafyllou, M., Constantinides, Y., Karniadakis, G.: The flow dynamics of the garden-hose instability. J. Fluid Mech. 800, 595–612 (2016). https://doi.org/10.1017/jfm.2016.364

    Article  MathSciNet  Google Scholar 

  5. Paidoussis, M.P., Li, G.X.: Pipes conveying fluid: A model dynamical problem. Journal of Fluids and Structures. 7(2), 137–204 (1993). https://doi.org/10.1006/jfls.1993.1011

    Article  Google Scholar 

  6. Paidoussis, M.P.: Fluid-structure Interactions Slender Structures and Axial Flow / Michael P. Academic Press Inc, San Diego, CA, Paidoussis (1998)

    Google Scholar 

  7. Dettmer, W.G., Peric, D.: On the coupling between fluid flow and mesh motion in the modelling of fluid-structure interaction. Comput. Mech. 43, 81–90 (2008)

    Article  Google Scholar 

  8. Dettmer, W., Perić, D.: A computational framework for fluid-structure interaction: Finite element formulation and applications. Comput. Methods Appl. Mech. Eng. 195(41), 5754–5779 (2006). https://doi.org/10.1016/j.cma.2005.10.019. John H. Argyris Memorial Issue. Part II

  9. Łuczko, J., Czerwiński, A.: Nonlinear three-dimensional dynamics of flexible pipes conveying fluids. Journal of Fluids and Structures. 70, 235–260 (2017). https://doi.org/10.1016/j.jfluidstructs.2017.02.002

    Article  Google Scholar 

  10. Chin, S.K., Jomaas, G., Sunderland, P.B.: Firefighter nozzle reaction. Fire. Technol 53, 1907–1917 (2017)

    Article  Google Scholar 

  11. Vera, F., Rivera, R., Núñez, C.: Backward reaction force on a fire hose, myth or reality? Fire. Technol 51(5), 1023–1027 (2015). https://doi.org/10.1007/s10694-014-0430-5

    Article  Google Scholar 

  12. Wright, D. (2013) Impact Force of High Pressure Waterjets. WJTA-IMCA Conference and Expo,

  13. White, F.M., Xue, H.: Fluid mechanics. McGraw-Hill (2021)

  14. Thorne, K.S., Blandford, R.D.: Modern classical physics: Optics, Fluids, Plasmas, Elasticity, Relativity, and Statistical Physics. Princeton University Press (2017)

  15. Thompson, J.M.T., Virgin, L.N.: Instabilities of nonconservative fluid-loaded systems. International Journal of Bifurcation and Chaos. 29(14), 1930039 (2019). https://doi.org/10.1142/S0218127419300398

    Article  MathSciNet  Google Scholar 

  16. Hyvärinen, J., Karlsson, M., Zhou, L.: Study of concept for hydraulic hose dynamics investigations to enable understanding of the hose fluid-structure interaction behavior. Advances in Mechanical Engineering. 12(4), 1687814020916110 (2020). https://doi.org/10.1177/1687814020916110

    Article  Google Scholar 

  17. Orsag, M., Korpela, C., Bogdan, S., Oh, P.: Dexterous aerial robots—mobile manipulation using unmanned aerial systems. IEEE Trans. Robot. 33(6), 1453–1466 (2017). https://doi.org/10.1109/TRO.2017.2750693

  18. Korpela, C., Orsag, M., Oh, P. (2014) Towards valve turning using a dual-arm aerial manipulator. In: 2014 IEEE/RSJ international conference on intelligent robots and systems, pp. 3411–3416. https://doi.org/10.1109/IROS.2014.6943037

  19. Kim, D., Oh, P.Y. (2020) Human-drone interaction for aerially manipulated drilling using haptic feedback. In: 2020 IEEE/RSJ international conference on intelligent robots and systems (IROS), pp. 9774–9780. https://doi.org/10.1109/IROS45743.2020.9340726

  20. Shahrooz, M., Talaeizadeh, A., Alasty, A. (2020) Agricultural spraying drones: Advantages and disadvantages. In: 2020 Virtual symposium in plant omics sciences (OMICAS), pp. 1–5. https://doi.org/10.1109/OMICAS52284.2020.9535527

  21. Magazine, At the Ready.: From the battlefield to the fire scene: An autonomous unmanned system makes the transition. At the Ready Magazine - A Magazine for First Responders (2013). https://www.atthereadymag.com/site/battlefieldtofirescene

  22. Quenzel, J., Splietker, M., Pavlichenko, D., Schleich, D., Lenz, C., Schwarz, M., Schreiber, M., Beul, M., Behnke, S.: Autonomous fire fighting with a uav-ugv team at mbzirc 2020. In: 2021 International conference on unmanned aircraft systems (ICUAS), pp. 934–941 (2021). https://doi.org/10.1109/ICUAS51884.2021.9476846

  23. Ando, H., Ambe, Y., Ishii, A., Konyo, M., Tadakuma, K., Maruyama, S., Tadokoro, S.: Aerial hose type robot by water jet for fire fighting. IEEE Robotics and Automation Letters. 3(2), 1128–1135 (2018). https://doi.org/10.1109/LRA.2018.2792701

    Article  Google Scholar 

  24. Firefighting Drone. https://www.aerones.com/

  25. Chen, R., Cao, H., Cheng, H., Xie, J. (2019) Study on urban emergency firefighting flying robots based on uav. In: 2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), vol. 1, pp. 1890–1893. https://doi.org/10.1109/IAEAC47372.2019.8997723

  26. Qin, H., Cui, J.Q., Li, J., Bi, Y., Lan, M., Shan, M., Liu, W., Wang, K., Lin, F., Zhang, Y.F., Chen, B.M. (2016) Design and implementation of an unmanned aerial vehicle for autonomous firefighting missions. In: 2016 12th IEEE international conference on control and automation (ICCA), pp. 62–67. https://doi.org/10.1109/ICCA.2016.7505253

  27. Jaber, R.A., Sikder, M.S., Hossain, R.A., Malia, K.F.N., Rahman, M.A. (2021) Unmanned aerial vehicle for cleaning and firefighting purposes. In: 2021 2nd International conference on robotics, electrical and signal processing techniques (ICREST), pp. 673–677. https://doi.org/10.1109/ICREST51555.2021.9331147

  28. Mukerjee, R.: A Modern Theory of Factorial Design. Springer, New York (2006)

    Google Scholar 

  29. Hament, B., Oh, P. (2022) A pressure washing hosing-drone - mitigating reaction forces and torques. In: 2022 International conference on unmanned aircraft systems (ICUAS), pp. 468–477. https://doi.org/10.1109/ICUAS54217.2022.9836101

  30. Brahmia, A., Kelaiaia, R., Company, O., Chemori, A.: Kinematic sensitivity analysis of manipulators using a novel dimensionless index. Robot. Auton. Syst. 150, 104021 (2022). https://doi.org/10.1016/j.robot.2022.104021

    Article  Google Scholar 

  31. McLurkin, J.D. (1972) Analysis and implementation of distributed algorithms for multi-robot systems. PhD thesis, Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science

  32. Borges, M.U., Pinto, F.A.A., Lima, E.J. (2019) Analysis of energy consumption in a two-arm vertical planar robot by varying a dimensionless design construction parameter. In: 2019 19th International conference on advanced robotics (ICAR), pp. 308–311. https://doi.org/10.1109/ICAR46387.2019.8981562

  33. Franzini, A., Moosa, S., Servello, D., Small, I., DiMeco, F., Xu, Z., Elias, W.J., Franzini, A., Prada, F.: Ablative brain surgery: an overview. Int. J. Hyperth. 36(2), 64–80 (2019). https://doi.org/10.1080/02656736.2019.1616833. (PMID: 31537157)

    Article  Google Scholar 

  34. Annese, S.-A.N.M.B.H.M.P.S.C.T.N.K.J.G.A.B.N.F.M.P.K.R..C.S. J. (2014) Postmortem examination of patient h.m.’s brain based on histological sectioning and digital 3d reconstruction. Nature Communications

  35. Meyes, R., Lu, M., Puiseau, C.W., Meisen, T. (2019) Ablation studies in artificial neural networks. https://doi.org/10.48550/ARXIV.1901.08644

  36. Ma, Y., Liu, H., Zhang, Y., He, Q., Xu, Z. (2018) Intelligent decision making for uav based on monte carlo simulation. In: 2018 15th International conference on control, automation, robotics and vision (ICARCV), pp. 521–525. https://doi.org/10.1109/ICARCV.2018.8581333

  37. Guay, R., Drolet, G., Bray, J.R. (2017) Rcs modelling of a mini-uav based on dynamic measurements. In: 2017 IEEE Radar Conference (RadarConf), pp. 0908–0911. https://doi.org/10.1109/RADAR.2017.7944332

  38. Chaojie, O., Ju, J., Hongxin, W., Ziyang, Z. (2014) Monte carlo approach to the analysis of uavs control system. In: Proceedings of 2014 IEEE chinese guidance, navigation and control Conference, pp. 458–462. https://doi.org/10.1109/CGNCC.2014.7007267

  39. Bradski, G. (2000) The OpenCV Library. Dr. Dobb’s Journal of Software Tools

  40. Narli, V., Oh, P.Y. (2006) Hardware-in-the-loop test rig for designing near-earth aerial robotics. In: Proceedings 2006 IEEE international conference on robotics and automation, 2006. ICRA 2006., pp. 2509–2514 . https://doi.org/10.1109/ROBOT.2006.1642079

  41. Narli, V., Oh, P.Y. (2006) Hardware-in-the-loop test rig to capture aerial robot and sensor suite performance metrics. In: International conference on intelligent robots and systems

  42. Sevcik, K., Oh, P.: Testing unmanned aerial vehicle missions in a scaled environment. J. Intell. Robot. Syst. 54, 297–305 (2009). https://doi.org/10.1007/s10846-008-9267-9

    Article  Google Scholar 

  43. Sun, N., Zhang, J., Xin, X., Yang, T., Fang, Y.: Nonlinear output feedback control of flexible rope crane systems with state constraints. IEEE Access. 7, 136193–136202 (2019). https://doi.org/10.1109/ACCESS.2019.2942054

    Article  Google Scholar 

Download references

Acknowledgements

Blake would like to thank Nathan Kassai, Armaun Zargari, Jason Tran, and Nicolas Kosanovic for their invaluable assistance with filming, safety, and monitoring equipment during lab and field testing.

Funding

This work was funded by the United States Department of Transportation Project Grant No. 69A3551747126, Inspection and Preservation of Infrastructure Through Robotic Exploration (INSPIRE).

Author information

Authors and Affiliations

Authors

Contributions

B.H. did all design, experimentation, analysis, and drafting. P.O. advised and edited.

Corresponding author

Correspondence to Blake Hament.

Ethics declarations

Conflicts of interest

The authors have no relevant financial or non-financial interests to disclose.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hament, B., Oh, P. High Pressure Hosing-Drone Dynamics and Controls. J Intell Robot Syst 109, 90 (2023). https://doi.org/10.1007/s10846-023-01954-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10846-023-01954-8

Keywords

Navigation