Skip to main content
SpringerLink
Log in

Design of Conveyor Control Information System Considering Transport Delay

  • Conference paper
  • First Online:
Advances in Design, Simulation and Manufacturing III (DSMIE 2020)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Included in the following conference series:

  • 1307 Accesses

Abstract

In this paper, the design method of optimal control for the conveyor-based transport system, when the quality criterion contains a variable delay in the controls, has been considered. The task of optimal control has been set and the Hamiltonian of the system has been written taking into account the delay in the controls. In the design of optimal control by the flow parameters of the transport system, a control object model containing partial differential equations was used. The mechanism that forms a variable value of the transport delay in the flow parameters of the transport system has been shown. Two characteristic modes of the conveyor system functioning are considered as follows: a transient state, when the value of the linear density at the transport system output is determined by the initial distribution of material along the transport route, and a steady-state state, when the value of the linear density at the transport system output is determined through the values of the movement speed of the conveyor belt and the intensity of the material at the conveyor section input. Equations that make it possible to calculate the controls of the flow parameters of the transport system for which the Hamiltonian of the system satisfies the Hamilton–Jacobi equation have been provided. Controls of the flow parameters are synthesized for the case when the phase coordinate does not reach the limits. It is shown that for the synthesis of controls, it is necessary to predict the magnitude of the output flow from the transport system.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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

References

  1. Pihnastyi, O.: Statistical Theory of Control Systems of the Flow Production. LAP LAMBERT Academic Publishing, Beau Bassin (2018)

    Google Scholar 

  2. Bebic, M., Ristic, L.: Speed controlled belt conveyors: drives and mechanical considerations. Adv. Electr. Comput. Eng. 18(1), 51–60 (2018)

    Google Scholar 

  3. He, D., Pang, Y., Lodewijks, G., Liu, X.: Healthy speed control of belt conveyors on conveying bulk materials. Powder Technol. 327, 408–419 (2018)

    Google Scholar 

  4. Zhang, S., Xia, X.: Modeling and energy efficiency optimization of belt conveyors. Appl. Energy 88(9), 3061–3071 (2011)

    Google Scholar 

  5. Yang, G.: Dynamics analysis and modeling of rubber belt in large mine belt conveyors. Sens. Transducers 181(10), 210–218 (2014)

    Google Scholar 

  6. Reutov, A.: Simulation of load traffic and steeped speed control of conveyor. In: IOP Conference Series: Earth and Environmental, vol. 87, p. 082041 (2017)

    Google Scholar 

  7. Kuptsov, N.: The study of the actual dimensions of bulk carriers for the technological design of seaports. Bull. State Univ. Sea River Fleet Admiral S.O. Makarov 2(42), 323–336 (2017). https://doi.org/10.21821/2309-5180-2017-9-2-323-336

  8. Dafnomilis, I., Duinkerken, M., Junginger, G., Lodewijks, M., Schott, D.: Optimalequipment deployment for biomass terminal operations. Transport. Res. Part E: Logist. Transp. Rev. 115, 147–163 (2018)

    Google Scholar 

  9. Hiltermann, J., Lodewijks, G., Schott, D., Rijsenbrij, J., Dekkers, J., Pang, Y.: A methodology to predict power savings of troughed belt conveyors by speed control. Part. Sci. Technol. 29(1), 14–27 (2011)

    Google Scholar 

  10. DIN 22101:2002-08. Continous conveyors. Belt conveyors for loose bulk materials. Basics for calculation and dimensioning. – Normenausschuss Bergbau (FABERG) im DIN Deutsches Institut fur Normung e.v. Normenausschuss Maschinenbau (NAM), p. 51 (2002)

    Google Scholar 

  11. Alspaugh, M.: Latest developments in belt conveyor technology. In: MINExpo 2004, New York, Las Vegas, NV, USA (2004)

    Google Scholar 

  12. Kung, W.: The Henderson Coarse Ore Conveying System. A Review of Commissioning, Start-up, and Operation, Bulk Material Handling by Belt Conveyor 5, Society for Mining, Metallurgy and Exploration, Inc. (2004)

    Google Scholar 

  13. Siemens. Innovative solutions for the mining industry. https://new.siemens.com/global/en/markets/mining-industry.html. Accessed 12 Oct 2019

  14. Wolstenholm, E.: Designing and assessing the benefits of control policies for conveyor belt systems in underground mines. Dynamica 6(2), 25–35 (1980)

    Google Scholar 

  15. Marais, J., Pelzer, R.: Analysing DSM opportunities on mine conveyor systems. In: Industrial and Commercial Use of Energy Conference, pp. 28–30 (2008)

    Google Scholar 

  16. Antoniak, J.: Energy-saving belt conveyors installed in polish collieries. Transp. Prob. 5(4), 5–14 (2010)

    Google Scholar 

  17. Lauhoff, H.: Speed control on belt conveyors – does it really save energy? Bulk Solids Handl. Publ. 25(6), 368–377 (2005)

    Google Scholar 

  18. Semenchenko, A., Stadnik, M., Belitsky, P., Semenchenko, D., Stepanenko, O.: The impact of an uneven loading of a belt conveyor on the loading of drive motors and energy consumption in transportation. Eastern-Eur. J. Enterp. Technol. 4/1(82), 42–51 (2016)

    Google Scholar 

  19. Pihnastyi, O., Khodusov, V.: Model of conveyer with the regulable speed. Bull. South Ural State Univ. Ser. Math. Model. Program. Comput. Softw. (Bull. SUSUMMCS) 10(4), 64–77 (2017)

    Google Scholar 

  20. Cornet, J.: Head and Tail Controls in Long Overland Conveyors. Bulk Mater. Handl. Conveyor Belt 4, 55–67 (2015)

    Google Scholar 

  21. Mathaba, T., Xia, X.: A parametric energy model for energy management of long belt conveyors. Energies 8(12), 13590–13608 (2015)

    Google Scholar 

  22. Karolewski, B., Ligocki, P.: Modelling of long belt conveyors. Maint. Reliab. 16(2), 179–187 (2014)

    Google Scholar 

  23. Pihnastyi, O., Khodusov, V.: Model of a composite magistral conveyor line. In: IEEE International Conference on System analysis & Intelligent computing (SAIC 2018), Kyiv, Ukraine (2018)

    Google Scholar 

  24. Pihnastyi, O., Khodusov, V.: Optimal control problem for a conveyor-type production line. Cybern. Syst. Anal. 54(5), 744–753 (2018)

    MATH  Google Scholar 

  25. He, D., Pang, Y., Lodewijks, G.: Belt conveyor dynamics in transient operation for speed control. Int. J. Civil Environ. Struct. Constr. Archit. Eng. 10(7), 865–870 (2016)

    Google Scholar 

  26. He, D., Pang, Y., Lodewijks, G., Liu, X.: Determination of acceleration for belt conveyor speed control in transient operation. Int. J. Eng. Technol. 8(3), 206–211 (2016)

    Google Scholar 

  27. Xi, P., Song, Y.: Application research on BP neural network PID control of the belt conveyor. JDIM 9, 266–270 (2011)

    Google Scholar 

  28. Fan, F., Liu, Ju., Parteli, E., Poschel, Th.: Vertical motion of particles in vibration-induced granular capillarity. In: Powders and Grains 2017 – 8th International Conference on Micromechanics on Granular Media, Montpellier, France, vol. 140 (2017)

    Google Scholar 

  29. Andrejiova, M., Marasova, D.: Using the classical linear regression model in analysis of the dependences of conveyor belt life. Acta Montanist. Slovaca 18(2), 77–84 (2013)

    Google Scholar 

  30. Grincova, A., Marasova, D.: Experimental research and mathematical modelling as an effective tool of assessing failure of conveyor belts. Maint. Reliab. 16(2), 229–235 (2014)

    Google Scholar 

  31. Noack, R., Arloth, J.: From digital prototype to Hybrid Twin™ New potentials in the dynamic simulation of belt conveyors. Aufbereitungs-Technik/Mineral Process. 59(04), 47–55 (2018)

    Google Scholar 

  32. Xinglei, L., Hongbin, Yu.: The design and application of control system based on the BP neural network. In: Proceedings of the 3rd International Conference on Mechanical Engineering and Intelligent Systems (ICMEIS 2015), pp. 789–793 (2015)

    Google Scholar 

  33. Pihnastyi, O., Khodusov, V.: Calculation of the parameters of the composite conveyor line with a consta nt speed of movement of subjects of labour. Sci. Bull. National Mining Univ. 4(166), 138–146 (2018)

    Google Scholar 

  34. Halepoto, I., Shaikh, M., Chowdhry, B.: Design and implementation of intelligent energy efficient conveyor system model based on variable speed drive control and physical modeling. Control Phys. Model. Int. J. Control Autom. 9(6), 379–388 (2016)

    Google Scholar 

  35. Conveyorbeltguide Engineering: Conveyor components. http://conveyorbeltguide.com/engineering.html. Accessed 09 Sept 2019

  36. Pihnastyi, O., Khodusov, V.: The optimal control problem for output material flow on conveyor belt with input accumulating bunker. Bull. South Ural State Univ. Ser. Math. Model. Program. Comput. Softw. 12(2), 67–81 (2019)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. National Technical University “KpPI”, 2, Kyrpychova St., Kharkiv, 61002, Ukraine

    Oleh Pihnastyi & Georgii Kozhevnikov

  2. Ukrainian Engineering-Pedagogics Academy, 16, Universitetskaya St., Kharkiv, 61003, Ukraine

    Tetiana Bondarenko

Authors
  1. Oleh Pihnastyi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Georgii Kozhevnikov
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Tetiana Bondarenko
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Georgii Kozhevnikov .

Editor information

Editors and Affiliations

  1. Sumy State University, Sumy, Ukraine

    Vitalii Ivanov

  2. Poznan University of Technology, Poznan, Poland

    Justyna Trojanowska

  3. Sumy State University, Sumy, Ukraine

    Ivan Pavlenko

  4. Technical University of Kosice, Presov, Slovakia

    Jozef Zajac

  5. University of Zagreb, Zagreb, Croatia

    Dragan Peraković

Rights and permissions

Reprints and permissions

Copyright information

© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Pihnastyi, O., Kozhevnikov, G., Bondarenko, T. (2020). Design of Conveyor Control Information System Considering Transport Delay. In: Ivanov, V., Trojanowska, J., Pavlenko, I., Zajac, J., Peraković, D. (eds) Advances in Design, Simulation and Manufacturing III. DSMIE 2020. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-50794-7_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-50794-7_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-50793-0

  • Online ISBN: 978-3-030-50794-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation