Procedure for the synthesis of models of electrotechnical complexes

Authors

DOI:

https://doi.org/10.15587/1729-4061.2018.150483

Keywords:

electrotechnical complex, principle of decomposition, energy path, system component, visual-block model

Abstract

A procedure for developing visual mathematical models of multichannel electrotechnical complexes which reduces time of synthesis of mathematical models and error likelihood was developed. The procedure includes two stages: representation of an electrotechnical complex in a form of a structure of the energy path and its transformation into a visual-block model.

Representation of the system in a form of a structure of energy paths is based on the principle of system decomposition proposed by the authors which involves definition of six types of structural elements in the power conversion structure: source and receiver, distributor and consolidator, converter and energy storage.

The principle of decomposition allows one to create a library of models of subblock, components of the visual-block model and introduce unification of the subblock designation.

To illustrate the proposed procedure, an example of building a visual model of a DC drive for a rolling mill roll and its implementation on a personal computer were considered.

A fragment of the library of components of the visual-block model with a mathematical description of the components included in the considered example was given.

The introduced unification creates conditions for effective work of developers in elaboration of this procedure of model synthesis in terms of formation of a library of subblocs. In addition, unification of the form of representation of the library of components creates conditions for effective communication of researchers and developers within the frames of complex integrated projects.

The model at the stage of developing structure of energy paths is a convenient tool for visualizing system operation and contributes to understanding of its functioning.

The form of the obtained mathematical model is convenient for its further transformation into a model in variables of state which, in turn, is the starting point for synthesis of control systems

Author Biographies

Dmitriy Alekseevskiy, Zaporizhzhia State Engineering Academy Sobornyi ave., 226, Zaporizhzhia, Ukraine, 69006

PhD, Associate Professor

Department of Electronic Systems

Olga Pankova, Zaporizhzhia State Engineering Academy Sobornyi ave., 226, Zaporizhzhia, Ukraine, 69006

Postgraduate student

Department of Electronic Systems

Roman Khrestin, Nikopol College of National Metallurgical Academy of Ukraine Trubnikov ave., 18, Nikopol, Ukraine, 53200

Lecturer

Department of Electrical

References

  1. Phillips, C. L., Harbor, R. D. (2000). Feedback Control Systems. N.J.: Prentice Hall, Upper Saddle River, 658.
  2. Druzhinin, V. V., Kontorov, D. S. (1985). Sistemotekhnika. Moscow: Radio i svyaz', 200.
  3. Sinha, R., Paredis, C. J. J., Liang, V.-C., Khosla, P. K. (2001). Modeling and Simulation Methods for Design of Engineering Systems. Journal of Computing and Information Science in Engineering, 1 (1), 84. doi: https://doi.org/10.1115/1.1344877
  4. Zhang, H., Wang, H., Chen, D., Zacharewicz, G. (2010). A model-driven approach to multidisciplinary collaborative simulation for virtual product development. Advanced Engineering Informatics, 24 (2), 167–179. doi: https://doi.org/10.1016/j.aei.2009.07.005
  5. Jain, S. K., Sharma, F., Baliwal, M. K. (2014). Modeling and Simulation of an Induction Motor. International Journal of Engineering Research and Development, 10 (4), 57–61.
  6. Tsai, H.-L., Tu, C.-S., Su ,Y.-J. (2008). Development of generalized photovoltaic model using Matlab/ Simulink. Congress on Engineering and Computer Science, 16–22.
  7. Mohd, T. A. T., Hassan, M. K., A. Aziz, W. (2015). Mathematical modeling and simulation of an electric vehicle. Journal of Mechanical Engineering and Sciences, 8, 1312–1321. doi: https://doi.org/10.15282/jmes.8.2015.6.0128
  8. Doroshin, A. V., Neri, F. (2014). Open Research Issues on Nonlinear Dynamics, Dynamical Systems and Processes. WSEAS Transactions on Systems, 13, 644–647.
  9. Jackey, R. A. (2007). A Simple, Effective Lead-Acid Battery Modeling Process for Electrical System Component Selection. SAE Technical Paper Series. doi: https://doi.org/10.4271/2007-01-0778
  10. Alekseevskiy, D. G. (2017). Visual simulation of multilink wind electric generation system. Bulletin of National Technical University "Kharkiv Polytechnic Institute". Problems of Automated Electrodrivs. Theory and Practice. Power Electronics and Energy Efficiency, 27 (1249), 332–336.
  11. Alekseevskiy, D. G. (2017). Syntez modelei u zminnykh stanu dlia bahatokanalnykh vitroelektroheneruiuchykh system. Visnyk KNUTD. Seriya: Tekhnichni nauky, 5 (114), 11–16.
  12. Alekseevskiy, D. G., Kritskaya, T. V., Manaev, K. V., Taranec, A. V. (2018). Realizaciya algoritma polucheniya matricy peremennyh sostoyaniy dlya trekhkanal'nogo vetroenergeticheskogo kompleksa. Sumgaitskiy gosudarstvennyy universitet. Materialy mezhdunarodnoy nauchnoy konferencii "Aktual'nye voprosy prikladnoy fiziki i energetiki", 344–447.
  13. Dorf, R. C., Bishop, R. H. (2010). Modern Control Systems. N.J.: Prentice Hall, 1083.

Downloads

Published

2018-12-12

How to Cite

Alekseevskiy, D., Pankova, O., & Khrestin, R. (2018). Procedure for the synthesis of models of electrotechnical complexes. Eastern-European Journal of Enterprise Technologies, 6(9 (96), 48–54. https://doi.org/10.15587/1729-4061.2018.150483

Issue

Section

Information and controlling system