Computer modeling of multi-motor electric drive system in MatLab software

A multi-motor electric drive system of a mining combine is considered. Computer simulation was performed in the MatLab software package using the Simulink block library and the SimPowerSystems application. For research, a mining combine AM-75 was selected. The description of the power circuit of the main electrical equipment of the combine is given, which includes the engines of the swept working body, the rotary scraper conveyor, and the pick-up with two pick-up legs. To carry out the simulation, the Mathcad program calculated additional parameters of induction motors, which include the active resistances and inductances of the stator and rotor windings, mutual induction, reduced power, rated current, design and winding coefficients of the motors. A computer model of direct start of all asynchronous motors with a process relationship has been developed. The simulation results are obtained in the form of graphs of the time dependences of the main engine parameters: angular rotation frequency and electromagnetic moment. Plots of voltage and current of the supply network were obtained, as well as a graph of active power consumption. A qualitative assessment of the obtained results was made by determining the relative error of the simulated parameters and calculated data. During the assessment and analysis of the simulation results, minor errors in the engine parameters were revealed, which indicates the exact implementation of the computer model and the possibility of its use for engineering calculations.

1. Sagitov P.I., Almuratova N.K., Toygozhinova Z.Z., Akpanbetov D.B. Mathematical modeling and optimization of the control system for multi-motor electric drive of conveyor belt. Int. J of Engineering Research and Technology. 2019;12(6): 899-911.

2. Chu L., Jia Y.-F., Chen D.-S., Xu N., Wang Y.-W., Tang X., et al. Research on control strategies of an open-end winding permanent magnet synchronous driving motor (OWPMSM)-equipped dual inverter with a switchable winding mode for electric vehicles. Energies. 2017;10(5): 616. Доступно по: doi:10.3390/en10050616.

3. Savelyev A.N., Kozlov S.V., Vinokurov N.E. Dynamic loads acting on the elements of a multi-engine hydraulic drive of the CCM refrigerator. News of higher educational institutions. Ferrous metallurgy. 2018;61(2): 149-155. Available from: doi:10.17073/0368-0797-2018-2-149-155.

4. Soloviev V.A., Deryuzhkova N.E., Zhuo A. On the issue of developing a mathematical model of an object of an interconnected volume molding system. Scientific notes Komsomolsk-on-Amur State Technical University. 2017;1(2):54-57.

5. Shokhin V.V., Khramshin V.R., Permyakova O.V. Modeling the process of winding strips on a coiler of a cold rolling mill. Bulletin of the South Ural State University. Series: Energy. 2019;19(1):85-92. Available from: doi:10.14529/power190110.

6. Kopylov K.N., Reshetnyak S.N., Kubrin S.S. Simulation modeling of the power supply system of a mining section of a coal mine. Mountain Information and Analytical Bulletin (scientific and technical journal). 2016;(12):40-50.

7. Kubrin S.S., Reshetnyak S.N., Bondarenko A.M. Mathematical modeling of parameters of specific norms of power consumption in mining sections of coal mines. Electrical and information systems and systems. 2019;15(2):50-56.

8. Instruction manual AM 75/162. Austria, Zeltweg: Voest-Alpine Bergtechnik Ges.m.b.H., 2005.

9. Anuchin A.S., Demidova G.L., Stzheletski R., Yakovenko M.S. Simulation of transients in power converters powered by a common DC link. Scientific and technical bulletin of information technologies, mechanics and optics. 2020;20(1):125-131. Available from: doi:10.17586/2226-1494-2020-20-1-125-131.

10. Dovgilenko S.V. Application of Schneider-Electric Altivar Process ATV900 and Altivar Machine ATV340 frequency converters in multi-engine industrial machines. Automation and IT in the energy sector. 2019;(2):40-44.

11. Domanov V.I., Domanov A.V., Gavrilova S.V. Study of the identification of elements of a multi-engine electric slip system of a shipyard. Industrial ACS and controllers. 2019;(9): 18-24. Available from: doi:10.25791/asu.09.09.2019.855.

12. Podzorov N.N., Bychkov M.G. Modernization of the multi-engine electric drive system of the technological installation. Automation in industry. 2019;(5):48-52.

13. . Bolvashenkov I., Kammermann J., Herzog H.-G., Frenkel I. Operational availability and performance analysis of the multi-drive multi-motor electric propulsion system of an icebreaker gas tanker for arctic. 14th Int. Conf. on Ecological Vehicles and Renewable Energies, EVER 2019, 8-10 May 2019, Monte-Carlo, Monaco. New York: Curran Associates; 2019. Available from: https://ieeexplore.ieee.org/document/8813641 (accessed 29 August 2019).

14. Cherniy S.P., Gudim A.S., Buzikayeva A.V. Fuzzy multi-cascade ac drive control system. Int. Multi-Conf. on Industrial Engineering and Modern Technologies, FarEastCon 2018, 3-4 Oct. 2018, Vladivostok, Russia. New York: Curran Associates; 2019. Available from: https://ieeexplore.ieee.org/document/8602930 (accessed 07 January 2019).

15. Morozov A.V., Dobroskok N.A., Lavrinovsiy V.S., Mohova O.V. Interrelated control of the multi-motor electrical drive. Proceed. of the 2019 IEEE Conf. of Russ. Young Researchers in Electrical and Electronic Engineering, ElConRus 2019, 28-31 Jan. 2019, Moscow, Russia. New York: Curran Associates; 2019. Available from: https://ieeexplore.ieee.org/document/8657156 (accessed 04 March 2019).

16. Vasilev B.U., Mardashov D.V. Automatic control in multidrive electrotechnical complexes with semiconductor converters. JOP: Conf. Series. 2017;803(1): 012170. Available from: doi:10.1088/1742-6596/803/1/012170.

17. Kalyuzhny S.V. Current-parametric coordination of speeds of interconnected multiengine electromechanical systems. Electricity. 2017;(6):59-64. Available from: doi:10.24160/0013-5380-2017-6-59-64.

18. Yudin V.V., Semenova Yu.V., Yudin A.V. The matrix model of a transport multi-engine electric drive system. Bulletin of the Rybinsk State Aviation Technological Academy named after P.A. Solovyov. 2018;(2):178-183.

19. Bebikhov Yu.V., Semenov A.S., Yakushev I.A., Kugusheva N.N., Pavlova S.N., Glazun M.A. The application of mathematical simulation for solution of linear algebraic and ordinary differential equations in electrical engineering. IOP Conf. Series: MSE. 2019;643: 012067. Available from: doi:10.1088/1757-899X/643/1/012067.

20. Goncharov K.A. A system of combinations of slip deviations of electric motors in probabilistic modeling of the distribution of traction in multi-drive drives of belt conveyors. Scientific and Technical Bulletin of Bryansk State University. 2019;(3): 288- 295. Available from: doi:10.22281/2413-9920-2019-05-03-288-295.

21. Kanov L.N., Solodky A.V. Mathematical modeling of a distributed electric drive of vehicles. Power plants and technologies. 2017;3(2):48-53.

22. Bebikhov Yu.V., Semenov A.S., Semenova M.N., Yakushev I.A. The use of mathematical modeling to solve linear algebraic and ordinary differential equations. Modern science: actual problems of theory and practice. Series: Natural and Technical Sciences. 2019;(4):29-36.

23. Savelyev A.N., Kozlov S.V., Anisimov D.O. Features of the formation of dynamic models of multi-engine hydraulic drives of CCM refrigerators. Bulletin of the Siberian State Industrial University. 2016;(2):28-31.

24. Savel’ev A.N., Kozlov S.V., Vinokurov N.E. Dynamic loads influencing on elements of multi-motor hydraulic drive of CCM cooler. Izvestiya Ferrous Metallurgy. 2018;61(2): 149-155. Available from: doi:10.17073/0368-0797-2018-2-149-155.

25. Ganiev R.N., Shatunov S.N. Variable frequency drive with recovery as part of the cord line for the production of truck tires. Bulletin of the Chuvash University. 2018;(3): 44-52.

26. Yeschin E.K. Option to reduce the complexity of the control system of an asynchronous electric drive. News of higher educational institutions. Electromechanics. 2019;62(2): 53- 60. Available from: doi:10.17213/0136-3360-2019-2-53-60.

27. Shabo K.Ya. Optimization of the system of combined control of the electric drive when the load changes as a function of the position of the working body. Electrical systems and complexes. 2018;(4): 17-21. Available from: doi:10.18503/2311-8318-2018-4(41)-17-21.

28. Bespalov V.Ya., Karzhavov B.N., Sidorov A.O. Some issues of increasing the smoothness of rotation of electric drives. Electricity. 2018;(8):42-51. Available from: doi:10.24160/0013-5380-2018-8-42-51.

29. Zagolilo S.A., Semenov A.S. Calculation and selection of electric motors of the mining combine mechanism by the equivalent force method. International Journal of Applied and Basic Research. 2020;(2):104-109. Available from: doi:10.17513/mjpfi.13019.

30. Aliev I.I. Electrical reference book. Moscow: Publisher RadioSoft; 2006.

31. Semenov A.S. Modeling the asynchronous motor operating modes in the MatLab software package. Bulletin of the Northeast Federal University n.a. M.K. Ammosov. 2014;11(1):51-59.

32. Odnokopylov G.I., Dementiev Yu.N., Shevchuk V.A. The use of system analysis to ensure the operational reliability of electric machines in the diamond mining industry. News of Tomsk Polytechnic University. Geo-Resource Engineering. 2019;330(5): 131- 140. Available from: doi:10.18799/24131830/2019/5/271.

33. Bebikhov Yu.V., Semenov A.S., Semenova M.N., Yakushev I.A. Analysis of methods for modeling technical systems in MATLAB. Modeling, optimization and information technology. 2019;7(3). Available from: https://moit.vivt.ru/wpcontent/uploads/2019/09/BebihovSoavtori_3_19_1.pdf doi:10.26102/2310- 6018/2019.26.3.037 (accessed: 10 April 2020).