Nothing Special   »   [go: up one dir, main page]

Skip to main content

Deployment of Battery Swapping Stations for Unmanned Aerial Vehicles Subject to Cyclic Production Flow Constraints

  • Conference paper
  • First Online:
Information and Software Technologies (ICIST 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 920))

Included in the following conference series:

Abstract

Given is a production system in which material handling operations are carried out by a fleet of UAVs. A problem has been formulated for this case of cyclic multi-product batch production flow, which combines the problems of split delivery-vehicle routing with time windows and deployment of battery swapping depots. It is assumed that the times of execution of pickup and delivery operations are known. During these operations, workpieces following different production routes reach and leave workstations cyclically. Given is the number of battery swapping depots and their potential arrangement. Given is also the rate of power consumption by an UAV in hovering mode or flying at a constant speed as well as during take-off and landing. The goal is to find the number of UAVs and the routes they fly to serve all the workstations periodically, within a given takt time, without violating constraints imposed by the due-time pickup/delivery operations and collision-free movement of UAVs. A declarative model of the analysed case allows to view the problem under consideration as a constraint satisfaction problem and solve it in the Oz Mozart programming environment.

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
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Bocewicz, G., Nielsen P., Banaszak, Z., Thibbotuwawa, A.: Routing and scheduling of unmanned aerial vehicles subject to cyclic production flow constraints. In: Proceedings of 15th International Conference on Distributed Computing and Artificial Intelligence (2018, in print)

    Google Scholar 

  2. Gino, J.L., Seonjin, K., Jaeyoung, C., Yibin, G., Amin, K.: Multi-UAV pre-positioning and routing for power network damage assessment. IEEE Trans. Smart Grid PP(99), 1 (2016)

    Google Scholar 

  3. Gorecki, T., Piet-Lahanier, H., Marzat, J., Balesdent, M.: Cooperative guidance of UAVs for area exploration with final target allocation. IFAC Proc. Vol. 46(19), 260–265 (2013)

    Article  Google Scholar 

  4. Guettier, C., Lucas, F.: A constraint-based approach for planning unmanned aerial vehicle activities. Constraint Satisfaction Plan. Sched. 31(5), 486–497 (2017)

    Google Scholar 

  5. Guerriero, F., Surace, R., Loscri, V., Natalizio, E.: A multi-objective approach for unmanned aerial vehicle routing problem with soft time windows constraints. Appl. Math. Model. 38(3), 839–852 (2014)

    Article  MathSciNet  Google Scholar 

  6. Hayat, S., Yanmaz, E., Muzaffar, R.: Survey on unmanned aerial vehicle networks for civil applications: a communications Viewpoint. IEEE Commun. Surv. Tutorials 18, 1 (2016). https://doi.org/10.1109/COMST.2016.2560343

    Article  Google Scholar 

  7. Ho, H.-M., Ouaknine, J.: The cyclic-routing UAV problem is PSPACE-complete. In: Pitts, A. (ed.) FoSSaCS 2015. LNCS, vol. 9034, pp. 328–342. Springer, Heidelberg (2015). https://doi.org/10.1007/978-3-662-46678-0_21

    Chapter  Google Scholar 

  8. Suzuki, K.A.O., Kemper Filho, P., Morrison, J.R.: Automatic battery replacement system for UAVs: analysis and design. J. Intell. Robot Syst. 65, 563–586 (2012). https://doi.org/10.1007/s10846-011-9616-y

    Article  Google Scholar 

  9. Manyam, S.G., Rasmussen, S., Casbeer, D.W., Kalyanam, K., Manickam, S.: Multi-UAV routing for persistent intelligence surveillance and reconnaissance missions. In: 2017 International Conference on Unmanned Aircraft Systems (ICUAS), USA, pp. 573–580 (2017)

    Google Scholar 

  10. Michini, B., et al.: Automated battery swap and recharge to enable persistent UAV missions. In: Infotech@Aerospace 2011, American Institute of Aeronautics and Astronautics (2011)

    Google Scholar 

  11. Myers, D., Batta, R., Karwan, M.: A real-time network approach for including obstacles and fight dynamics in UAV route planning. J. Defense Model. Simul. Appl. Methodol. Technol. 13, 291–306 (2016)

    Google Scholar 

  12. Nikhil, N.: The multiple unmanned air vehicle persistent surveillance problem: a review. Machines 2, 13–72 (2014). https://doi.org/10.3390/machines2010013

    Article  Google Scholar 

  13. Park, Y., Khosiawan, Y., Moon, I., Janardhanan, M.N., Nielsen, I.: Scheduling system for multiple unmanned aerial vehicles in indoor environments using the CSP approach. In: Czarnowski, I., Caballero, A.M., Howlett, Robert J., Jain, Lakhmi C. (eds.) Intelligent Decision Technologies 2016. SIST, vol. 56, pp. 77–87. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-39630-9_7

    Chapter  Google Scholar 

  14. Sitek, P., Wikarek, J.: A hybrid approach to the optimization of multiechelon systems. Math. Prob. Eng. 2015, Article ID 925675, 12 pages (2015)

    Google Scholar 

  15. Shao, S., Guo, S., Qiu, X.: A mobile battery swapping service for electric vehicles based on a battery swapping van. Energies 10, 1667 (2017). https://doi.org/10.3390/en10101667

    Article  Google Scholar 

  16. Tan, K.C., Lee, L.H., Zhu, Q.L., Ou, K.: Heuristic methods for vehicle routing problem with time windows. Artif. Intell. Eng. 15, 281–295 (2001)

    Article  Google Scholar 

  17. Thibbotuwawa, A., Nielsen, P.: Unmanned aerial vehicle routing problems: a literature review (in print)

    Google Scholar 

  18. Zhihao, L., Zhong, L., Jianmai, S.: A two-echelon cooperated routing problem for a ground vehicle and its carried unmanned aerial vehicle. Sensors 17, 1144 (2017)

    Article  Google Scholar 

Download references

Acknowledgements

The work was carried out as part of the POIR.01.01.01-00-0485/17 project, “Development of a new type of logistic trolley and methods of collision-free and deadlock-free implementation of intralogistics processes”, financed by NCBiR.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to G. Bocewicz .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Bocewicz, G., Nielsen, P., Banaszak, Z., Thibbotuwawa, A. (2018). Deployment of Battery Swapping Stations for Unmanned Aerial Vehicles Subject to Cyclic Production Flow Constraints. In: Damaševičius, R., Vasiljevienė, G. (eds) Information and Software Technologies. ICIST 2018. Communications in Computer and Information Science, vol 920. Springer, Cham. https://doi.org/10.1007/978-3-319-99972-2_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-99972-2_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99971-5

  • Online ISBN: 978-3-319-99972-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics