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The possibility of using intelligent control algorithm based on the maximum condition of the generalized power function in the system of automatic speed control of electric locomotive

https://doi.org/10.46973/0201-727X_2023_3_28

Abstract

The paper considers the possibility of using an intelligent control algorithm based on the maximum condition of the generalized power function and the fuzzy logic apparatus in the problem of automatic speed control of a new generation electric locomotive with an asynchronous traction motor. An automatic speed controller for an electric locomotive was built, and the simulation of the movement of a passenger train with an EP20 locomotive at a given speed on the Moscow – Ryazan and Moscow – Adler sections with an appropriate track profile was carried out. An analysis of the simulation results allows us to conclude that the developed intelligent control algorithm can be used to build a speed control system for a new generation electric locomotive with an asynchronous traction motor to ensure movement at a given speed in various operating modes of the locomotive under conditions of a priori unknown influences.

About the Authors

A. A. Agapov
Rostov State Transport University (RSTU)
Russian Federation

Alexander A. Agapov - Chair «Computing Machinery and Computerized Control Systems», Lecturer.



A. A. Zarifyan (Jr.)
TMH Engineering
Russian Federation

Alexander A. Zarifyan (Jr.) - Candidate of Engineering Sciences, Expert.



References

1. TMH stopped production of electric locomotives created with Alstom, but will make Russian ones // RIA Novosti: [website]. – 2023. – July 24. – URL: https://ria.ru/20230724/elektrovozy-1885859910.html (date of access: 08/28/2023)

2. Russian Railways expects a line of completely domestic locomotives from factories // 1prime.ru : [website]. – 2023. – 25 April. – URL: https://1prime.ru/transport/20230425/840470004.html (date of access: 08/28/2023).

3. Shevchenko, A. TMH for the first time in the Russian Federation presented a contact-battery shunting electric locomotive / A. Shevchenko // neftegaz.ru : [website]. – 2023. – 27 August. – URL: https://neftegaz.ru/news/Oborudovanie/791664-tmkh-vpervye-v-rf-predstavil-kontaktno-akkumulyatornyy-manevrovyy-elektrovoz (date of access: 08/28/2023).

4. Kostoglotov, A. A. A method of quasi-optimal synthesis of control laws based on the reduction of the Lagrange problem to an isoperimetric problem using asynchronous variation / A. A. Kostoglotov, S. V. Lazarenko // Izvestiya Rossiiskoi Akademii Nauk. Theory and control systems. – 2021. – Vol. 6, No. 6. – P. 3–12. – ISSN 1029-3620.

5. Zhdanov, A. A. Application of fuzzy logic in the simulation system of autonomous adaptive control / A. A. Zhdanov, M. V. Karavaev // Proceedings of ISP RAS. – 2002. – T. 3. – P. 121–137. – ISSN 2220-6426.

6. Savin, M. M. Theory of automatic control / M. M. Savin, V. S. Elsukov, O. N. Pyatina. – Rostov-on-Don : Phoenix, 2007. – 469 p. – ISBN 978-5-222-11274-8.

7. Agapov, A. A. Analysis of the effectiveness of quasi-optimal control laws using the apparatus of fuzzy logic in the problems of intellectualization of transport systems / A. A. Agapov, A. A. Kostoglotov, S. V. Lazarenko // Vestnik Rostovskogo Gosudarstvennogo Universiteta Putey Soobshcheniya. – 2023. – No. 1(89). – P. 126–135. – ISSN 0201-727X.

8. Kuzmich, V. D. Theory of locomotive traction / V. D. Kuzmich, V. S. Rudnev, S. Ya. Frenkel. – Moscow : Route, 2005. – 448 p. – ISBN 5-89035-265-2.

9. Rules for traction calculations for train work : approved by Order of Russian Railways dated May 12, 2016 No. 867r as amended by Order of Russian Railways dated February 9, 2018 No. 182/r. – Moscow : JSC “Russian Railways” , 2016. – 516 p.

10. Zarifyan, A. A. Improving the energy efficiency of passenger electric locomotives with asynchronous traction drive when powered from a DC network : dissertation for the degree of Candidate of Technical Sciences : 05.22.07 / Zarifyan Alexander Alexandrovich. – Rostov-on-Don : RSTU, 2016. – 121 p.

11. Zarifyan, A. A. Synthesis of the electric locomotive speed controller by methods of the theory of finite automata / A. A. Zarifyan // Vestnik Rostovskogo Gosudarstvennogo Universiteta Putey Soobshcheniya. – 2019. – No. 3(75). – P. 30–37. – ISSN 0201-727X.

12. Zarifyan, A. Synthesis of the heavy freight locomotive speed control system by finite-state machine theory / A. Zarifyan // The 16th International Conference on Civil, Structural & Environmental Engineering Computing. – Riva del Garda, Italy, 2019. – ISBN 978-1-905088-45-4.


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For citations:


Agapov A.A., Zarifyan (Jr.) A.A. The possibility of using intelligent control algorithm based on the maximum condition of the generalized power function in the system of automatic speed control of electric locomotive. Vestnik Rostovskogo Gosudarstvennogo Universiteta Putej Soobshcheniya. 2023;(3):28-34. (In Russ.) https://doi.org/10.46973/0201-727X_2023_3_28

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