Mathematical Modeling of the Operating Process in LS Hydraulic Drive Using MatLab GUI Tools

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


The main objective of this research is to describe the LS hydraulic drive based on a multimode directional control valve, for the most important operation of the hydraulic drive, to develop a mathematical model, to describe the developed mathematical model in the MATLAB system, to develop a software module in the MATLAB system for conducting theoretical studies of the mathematical model of the hydraulic drive. The subject of research is working processes in the LS hydraulic drive, a mathematical model of the LS hydraulic drive. Methods of mathematical modelling of differential equations of a nonlinear mathematical model, development of software module analytical methods were used in the research. The result of the research is the mathematical model of the LS hydraulic drive in the form of a system of differential equations and the scheme in the MATLAB Simulink system, which provided the solution of mathematical model equations and obtaining graphs of transients in a hydraulic drive. The algorithm for data exchange in the MATLAB Simulink system and the GUI graphical interface program, which implements data exchange, allows us to investigate the influence of the parameters of a load-sensitive hydraulic drive on the amount of overregulation by the pressure of the hydraulic pump in the hydraulic drive.


Matlab Simulink Mathematical model Load-sensing Hydraulic drive Modeling of working process 


  1. 1.
    Siebert, J., Wydra, M., Geimer, M.: Efficiency improved load sensing system-reduction of system inherent pressure losses. Energies. 10(7), 941 (2017). Scholar
  2. 2.
    Lovrec, D., Kastrevc, M., Ulaga, S.: Electro-hydraulic load sensing with speed-controlled hydraulic supply system on forming machines. Int. J. Adv. Manuf. Technol. 41, 1066–1075 (2009). Scholar
  3. 3.
    Burennikov, Yu., Kozlov, L., Pyliavets, V., Piontkevych, O.: Mechatronic Hydraulic Drive with Regulator, Based on Artificial Neural Network. In: IOP Conference Series: Materials Science and Engineering, vol. 209, no. 1, p. 012071 (2017).
  4. 4.
    Kukhar, V., Grushko, A., Vishtak, I.: Shape indexes for dieless forming of the elongated forgings with sharpened end by tensile drawing with rupture. Solid State Phenom. 284, 408–415 (2018). Scholar
  5. 5.
    Obertyukh, R., Slabkyi, A., Marushchak, M., Koval, L., Baitussupov, D., Klimek, J.: Dynamic and mathematical models of the hydraulic-pulse device for deformation strengthening of materials. In: Proceedings Volume 10808, Photonics Applications in Astronomy, Communications, Industry and High-Energy Physics Experiments. Wilga, Poland (2018).
  6. 6.
    Bosch Rexroth AG: Traktor-Hydraulik der nächsten Generation: Load-Sensing von Bosch Rexroth, Presseinformation PI042/17. Accessed 06 Sept 2017Google Scholar
  7. 7.
    Forental, V., Forental, M., Nazarov, F.: Investigation of dynamic characteristics of the hydraulic drive with proportional control. Procedia Eng. 129, 695–701 (2015)CrossRefGoogle Scholar
  8. 8.
    He, Q., Hao, P., Zhang, D.: Modeling and parameter estimation for hydraulic system of excavator’s arm. J. Cent. South Univ. Technol. China 15, 382–386 (2008). Scholar
  9. 9.
    Yan, W., Ze, Z., Xu-qing, Q.: Modeling and control for hydraulic transmission of unmanned ground vehicle. J. Central South Univ. 21(1), 124–129 (2014)CrossRefGoogle Scholar
  10. 10.
    Pavlenko, I., Trojanowska, J., Gusak, O., et al.: Estimation of the reliability of automatic axial-balancing devices for multistage centrifugal pumps. Periodica Polytechnica Mech. Eng. 63(1), 52–56 (2019). Scholar
  11. 11.
    Zhang, C.Y., Chen, G.Z., Miao, C.W., Zhao, Y.F., Zhong, S.: Design and stability factors analysis of electro-hydraulic driving system for load-sensing electro-hydraulic robot. In: IOP Conference Series. Materials Science and Engineering, vol. 392, p. 062040 (2018).
  12. 12.
    Fesenko, A., Yevsiukova, F., Basova, Y., Ivanova, M., Ivanov, V.: Prospects of using hydrodynamic cavitation for enhancement of efficiency of fluid working medium preparation technologies. Periodica Polytechnica Mech. Eng. 62(4), 269–276 (2018). Scholar
  13. 13.
    Pettersson, H., Krus, P., Jansson, A., Palmberg, J.O.: The design of pressure compensators for load sensing hydraulic systems. In: UKACC International Conference on Control 1996. IEE 427, p. 1456. University of Exeter, UK (1996)Google Scholar
  14. 14.
    Hagen, D., Pawlus, W., Ebbesen, M.K., Andersen, T.O.: Feasibility study of electromechanical cylinder drivetrain for offshore mechatronic systems. Model. Identif. Control A Nor. Res. Bull. 38, 59–77 (2017)Google Scholar
  15. 15.
    Petrov, O., Kozlov, L., Lozinskiy, D., Piontkevych, O.: Improvement of the hydraulic units design based on CFD modeling. In: Lecture Notes in Mechanical Engineering XXII, pp. 653–660 (2019).
  16. 16.
    Luomaranta, M.: A stable electrohydraulic load sensing system based on a microcontroller. In: Proceedings of The Sixth Scandinavian International Conference on fluid Power. SICFP 1999, pp. 419–432. Tampere, Finland (1999)Google Scholar
  17. 17.
    Jędrzykiewicz, Z., Pluta, J., Stojek, J.: Application of the MATLAB-simulink package in the simulation tests on hydrostatic systems. Acta Montanistica Slovaca, Ročnik 3(1), 29–36 (1998)Google Scholar
  18. 18.
    Lovrec, D., Ulaga, S.: Pressure control in hydraulic systems with variable or constant pumps. Exp. Tech. (Westport Conn.) 31(2), 33–41 (2007). Scholar
  19. 19.
    Berg, H., Ivantysynova, M.: Design and testing of a robust linear controller for secondary controlled hydraulic drive. Proc. Inst. Mech. Eng. Part I 213, 375–386 (1999)CrossRefGoogle Scholar
  20. 20.
    Čerkala, J., Jadlovska, A.: Methodology for experimental identification of the laboratory hydraulic system. Int. J. Eng. 3, 33–40 (2014). Annals of Faculty Engineering HunedoaraGoogle Scholar

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

Authors and Affiliations

  1. 1.Vinnytsia National Technical UniversityVinnytsiaUkraine

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