Investigation of adequacy of mathematical model of the „crane-load” system with frequency-controlled drive

Authors

  • Yu. Romasevych National University of Life and Environmental Sciences of Ukraine image/svg+xml
  • V. Loveikin National University of Life and Environmental Sciences of Ukraine image/svg+xml
  • V. Krushelnitsky National University of Life and Environmental Sciences of Ukraine image/svg+xml
  • V. Makarets National University of Life and Environmental Sciences of Ukraine image/svg+xml

DOI:

https://doi.org/10.31548/energiya2021.02.069

Abstract

Abstract. In this work, experimental studies were conducted to evaluate the adequacy of the model of the „crane-load” system movement. For research, a laboratory installation (trolley with a load on a flexible suspension), a frequency converter, and encoders were used to measure the position of the trolley and the angle of deviation of the rope with the load from the vertical. Six experiments were performed by varying the duration of the increase and decrease of the frequency of the supply voltage of the trolley drive from 0.5 to 3 s. The increase and decrease of frequency voltage occurred according to a linear law.

The data obtained during the experiments were compared with those that correspond to the mathematical model of the „crane-load” system. The mathematical model uses the Kloss equation, and also takes into account the change of frequency of the supply voltage of the drive from the condition of ensuring the overload capacity of the drive. Estimation of deviation of experimental data with results of numerical integration of mathematical model of the movement of the „crane-load” system was carried out based on the coefficient of variation (quantitative analysis) and graphic dependences (qualitative analysis). The obtained results showed the adequacy of the mathematical model of the motion of the „crane-load” system in the form of a system of nonlinear differential equations.

Key words: mathematical model, dynamic system, frequency-controlled drive

References

Tekhnicheskaya kollektsiya Schneider Electric. Vypusk № 12. Proyektirovaniye elektroprivodov kranovykh mekhanizmov [Technical collection Schneider Electric]. Issue № 12. Development of electrical drives of cranes mechanisms. Available at: https://profsector.com/media/catalogs/566dcd7cb36cc.pdf (date of access 11.06.2021).

Grogorov, O. V., Strizhak V.V. (2012). Analiz pusko-tormoznykh protsessov kranovykh mekhanizmov s chastotno-reguliruyemym privodom [Analisys of start-brake processes of crane mechanisms with frequency-controlled drive]. Bulletin of Kharkiv National Automobile and Road University, 57, 249-256.

Melnik V., Nezhentsev О. B. (2019). Parametry chastotnoho upravlinnia pry rozghoni mostovoho krana [Parameters of frequency control during bridge crane acceleration]. Innovations of youth in mechanical engineering, 1, 316-319.

Loveikin, V. S., Romasevych, Yu. О. (2016). Dynamika i optymizatsiia rezhymiv rukhu mostovykh kraniv: monohrafiia [Dynamics and optimization of bridge cranes motion. Monograph]. Кyiv: TsP "CONMRINT", 315.

Kazak, S. A. (1968). Dinamika mostovykh kranov [Dynamics of bridge cranes] Мoskow: Mashinostroenie, 331.

Loveikin, V. S., Romasevych, Yu. О. (2012). Analiz ta syntez rezhymiv rukhu mekhanizmiv vantazhopidiomnykh mashyn: monohrafiia [Analysis and synthesis of regimes of motion of hoisting cranes mechanisms. Monograph].- Кyiv: TsP "CONMRINT", 298.

Pavlenko, V. D. (2010). Identifikatsiya nelineynykh dinamicheskikh sistem v vide yader Vol'terry na osnove dannykh izmereniy impul'snykh otklikov [Identification of nonlinear dynamical systems in the form of Volterra nuclei on the basis of pulse response measurement data]. Mathematical methods and models, 32 (3), 3-18.

Peng, J., Dubay, R. (2011). Identification and adaptive neural network control of a DC motor system with dead-zone characteristics. ISA Transactions, 588-598. DOI: 10.1016/j.isatra.2011.06.005

https://doi.org/10.1016/j.isatra.2011.06.005

Zolotukhin, Yu. N., Kotov, Yu. K., Svitova, A. M., Semenyuk, E. D., Sobolev, M. A. (2018). Identifikatsiya dinamiki podvizhnogo ob"yekta s pomoshch'yu neyronnykh setey [Identification of the dynamics of a moving object using neural networks]. Autometry, 54 (6), 107-113.

https://doi.org/10.3103/S8756699018060109

Marshakov, D. V., Tsvetkova, O. L., Aidinyan, A. R. (2011). Neyrosetevaya identifikatsiya dinamiki manipulyatora [Neural network identification of manipulator dynamics]. Engineering Bulletin of the Don, 17 (3), 379-384.

Published

2021-08-09

Issue

Section

Статті