Theoretical-applied aspects of the composition of regression models for combined propulsion complexes based on data of experimental research

Authors

DOI:

https://doi.org/10.15587/1729-4061.2017.107244

Keywords:

ship power plant, combined propulsive complex, regression modeling, adequacy, experimental tests

Abstract

Based on the study into internal properties of components of the ship power plants (SPP) in the combined propulsion complexes (CPC) and considering special features in the construction of equations that characterize energy processes in the specific SPP of the particular CPC, we developed the principles of constructing their regression models according to data from experimental research. The function is defined that connects input variables and the output variable based on data of the experiment with the certain number of common observations of the input and output parameters. The check for adequacy of the obtained model was performed according to the experimental data.

Such studies are necessary in order to develop specialized software modeling tools that are used when designing CPC SPP whose structure may vary in certain specified operational limits and situational factors. Similar empirical models also make it possible to improve simulation modeling algorithms involving the use of statistical tests and construction of CPC SPP models based on experimental data.

As the result of present research, according to data obtained in the course of experiment, which contained 14 joint observations of the input and output parametric coordinates of the thruster drives (TDs) of CPC of the ship that operates under dynamic positioning mode, we estimated variation in the coefficients of regression equation and determined coefficients b0=0.4527; b1=–0.1126; b2=0.0848; b3=–0.0277; b4=0.0856, which refine the structure of regression model of SPP of CPC. For different levels of significance and degrees of freedom, the Student's t-criterion was computed for significance level α=0.06 and for the number of degrees of freedom 30 fy=30t(0.06; 30)=t(0.06; 2)=4.823, as well as the Fisher’s F-criterion Fe (0.06; 12; 2)=5.43, on the basis of which the conclusion was made that confirms adequacy of the obtained model according to the experimental tests.

Based on the constructed regression model, it is possible to adjust the position of CPC TD relative to each other and to the diametrical plane of the ship, as well as directions of TD rotation in the process of optimization of parameters of physical models of control systems of TD electric engines.

Author Biographies

Vitalii Budashko, National University «Odessa Maritime Academy» Didrikhson str., 8, Odessa, Ukraine, 65029

PhD, Associate Professor

Department of technical fleet operation 

Volodymyr Golikov, National University «Odessa Maritime Academy» Didrikhson str., 8, Odessa, Ukraine, 65029

PhD, Associate Professor

Department of ship handling

References

  1. Gaggero, S., Villa, D., Viviani, M. (2017). An extensive analysis of numerical ship self-propulsion prediction via a coupled BEM/RANS approach. Applied Ocean Research, 66, 55–78. doi: 10.1016/j.apor.2017.05.005
  2. Lepisto, V., Lappalainen, J., Sillanpaa, K., Ahtila, P. (2016). Dynamic process simulation promotes energy efficient ship design. Ocean Engineering, 111, 43–55. doi: 10.1016/j.oceaneng.2015.10.043
  3. Budashko, V. V. (2015). Implementarnyiy podhod pri modelirovanii energeticheskih protsessov dinamicheski pozitsioniruyuschego sudna [Implementation approaches during simulation processes for a dynamically positioned ship]. Electrical engineering & electromechanics, 6, 20–25.
  4. Budashko, V., Nikolskyi, V., Onishchenko, O., Khniunin, S. (2016). Decision support system’s concept for design of combined propulsion complexes. Eastern-European Journal of Enterprise Technologies, 3 (8 (81)), 10–21. doi: 10.15587/1729-4061.2016.72543
  5. Budashko, V. V. (2017). Design of the three-level multicriterial strategy of hybrid marine power plant control for a combined propulsion complex. Electrical Engineering & Electromechanics, 2, 62–72. doi: 10.20998/2074-272x.2017.2.10
  6. Glazeva, O. V., Budashko, V. V. (2015). Aspekty matematychnoho modeliuvannia elementiv yedynykh elektroenerhetychnykh ustanovok kombinovanykh propulsyvnykh kompleksiv [Aspects of the mathematical modelling of the elements for western systems coordinating council of combined propulsion complexes]. Bulletin of NTU «KhPI». Series: Problems of Electrical Machines and Apparatus Perfection. The Theory and Practice, 42 (1151), 71–75. Available at: http://pema.khpi.edu.ua/article/view/55969/52110
  7. Arutyunov, A. V., Karamzin, D. Y., Pereira, F. (2012). Pontryagin’s maximum principle for constrained impulsive control problems. Nonlinear Analysis: Theory, Methods & Applications, 75 (3), 1045–1057. doi: 10.1016/j.na.2011.04.047
  8. Rudnichenko, N. D., Vychuzhanin, V. V. (2014). Nechetko-veroyatnostnaya model otsenok riskov slozhnyih tehnicheskih sistem [Fuzzy-probability model for assessing the risks in complex technical systems]. Informatics & Mathematical Methods in Simulation, 4 (3), 225–232.
  9. Geertsma, R. D., Negenborn, R. R., Visser, K., Hopman, J. J. (2017). Design and control of hybrid power and propulsion systems for smart ships: A review of developments. Applied Energy, 194, 30–54. doi: 10.1016/j.apenergy.2017.02.060
  10. Thieme, C. A., Utne, I. B. (2017). Safety performance monitoring of autonomous marine systems. Reliability Engineering & System Safety, 159, 264–275. doi: 10.1016/j.ress.2016.11.024
  11. Vichuzhanin, V. (2012). Realization of a fuzzy controller with fuzzy dynamic correction. Open Engineering, 2 (3). doi: 10.2478/s13531-012-0003-7
  12. Montewka, J., Goerlandt, F., Kujala, P., Lensu, M. (2015). Towards probabilistic models for the prediction of a ship performance in dynamic ice. Cold Regions Science and Technology, 112, 14–28. doi: 10.1016/j.coldregions.2014.12.009
  13. Anastopoulos, P. A., Spyrou, K. J., Bassler, C. C., Belenky, V. (2016). Towards an improved critical wave groups method for the probabilistic assessment of large ship motions in irregular seas. Probabilistic Engineering Mechanics, 44, 18–27. doi: 10.1016/j.probengmech.2015.12.009
  14. Esmailian, E., Ghassemi, H., Zakerdoost, H. (2017). Systematic probabilistic design methodology for simultaneously optimizing the ship hull–propeller system. International Journal of Naval Architecture and Ocean Engineering, 9 (3), 246–255. doi: 10.1016/j.ijnaoe.2016.06.007
  15. Ekren, B. Y., Heragu, S. S., Krishnamurthy, A., Malmborg, C. J. (2014). Matrix-geometric solution for semi-open queuing network model of autonomous vehicle storage and retrieval system. Computers & Industrial Engineering, 68, 78–86. doi: 10.1016/j.cie.2013.12.002
  16. Jingjing, X., Dong, L. (2012). Queuing Models to Improve Port Terminal Handling Service. Systems Engineering Procedia, 4, 345–351. doi: 10.1016/j.sepro.2011.11.085
  17. Vahdani, B., Tavakkoli-Moghaddam, R., Jolai, F. (2013). Reliable design of a logistics network under uncertainty: A fuzzy possibilistic-queuing model. Applied Mathematical Modelling, 37 (5), 3254–3268. doi: 10.1016/j.apm.2012.07.021
  18. Budashko, V. V., Onishchenko, O. A., Yushkov, E. A. (2014). Fizicheskoe modelirovanie mnogofunktsional'nogo propul'sivnogo kompleksa [Physical modeling of multi-propulsion complex]. Zbirnyk naukovykh prats Vyiskovoi akademyi (m. Odesa), 2, 88–92. Avaialble at: http://zbirnyk.vaodessa.org.ua/images/zbirnyk_2/13.PDF
  19. Golikov, V. V., Mazur, O. N., Onishchenko, O. A. (2016). Osobennosti proektirovaniya mnogotselevogo sudna dvoynogo naznacheniya ledovogo klassa [Design peculiarities of ice-class multi-purpose double-duty ship]. Bulletin of National Technical University "KhPI": coll. of sci. papers. Ser.: New solutions in modern technologies, 42 (1214), 29–37. Available at: http://repository.kpi.kharkov.ua/handle/KhPI-Press/26861
  20. Budashko, V. V., Goncharenko, D. A. (2014). Modelirovanie sistem upravleniya moschnostyu i krutyaschim momentom podrulivayuschih ustroystv pri pozitsionirovanii sudov [Simulation of power management systems and torque thrusters for positioning vessels]. Intellectual systems for decision making and problems of computational intelligence (ISDMCI’2014), 59–61.
  21. Vychuzhanin, V. V., Rudnichenko, N. D. (2014). Assessment of risks structurally and functionally complex technical systems. Eastern-European Journal of Enterprise Technologies, 1 (2 (67)), 18–22. doi: 10.15587/1729-4061.2014.19846

Downloads

Published

2017-08-31

How to Cite

Budashko, V., & Golikov, V. (2017). Theoretical-applied aspects of the composition of regression models for combined propulsion complexes based on data of experimental research. Eastern-European Journal of Enterprise Technologies, 4(3 (88), 11–20. https://doi.org/10.15587/1729-4061.2017.107244

Issue

Vol. 4 No. 3 (88) (2017): Control processes

Section

Control processes

License

Copyright (c) 2017 Vitalii Budashko, Volodymyr Golikov

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.

A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.