Increasing the energy efficiency of auxiliary machines of AC electric locomotive
https://doi.org/10.21780/2223-9731-2021-80-5-276-284
Abstract
Currently, an asynchronous variable frequency drive based on semiconductor converters is widely used due to the relative simplicity and reliability of the design. The use of digital microprocessor systems ensures high accuracy and flexibility of drive control. On the domestic rolling stock, the widespread introduction of asynchronous motors began to replace DC traction motors with sequential excitation. In particular, scalar-controlled asynchronous motors are used on serially produced 2TE25A diesel locomotives and EP20 electric locomotives. The auxiliary asynchronous machines of these locomotives are controlled by the vector control method. The use of a new type of engine on the rolling stock makes it possible to achieve a significant increase in the quality of consumed energy and reduce the consumption of electricity for traction of trains. Ensuring the energy efficiency of the drive in a wide range of loads requires further research. In this regard, the issue of saving energy resources becomes very urgent. The article proposes a vector control scheme for asynchronous motors of auxiliary machines of an electric locomotive, which implements an extreme method of control according to the criterion of minimizing the consumed current. The analysis of the engine operation is carried out based on its mathematical model in a rotating coordinate system d — q, which is implemented in the MatLab/Simulink software package. As a result of simulation modeling, it was found that the extreme control system with a variable step allows for each fixed value of the electromagnetic moment of the motor in the minimum time to find the optimal (extreme) value of the magnetic flux of the motor rotor, which corresponds to the minimum value of the stator current. The developed model of the motor with vector control is supplemented with an extreme regulator device, which allows achieving the best energy performance of the motor and reducing electrical losses in all operating modes with a minimum search time. The presented research results can be used in the development of energy-saving control systems for an asynchronous motor.
About the Authors
Yu. M. KulinichRussian Federation
Yuriy M. Kulinich, Dr. Sci. (Eng.), Professor
Khabarovsk, 680021
S. A. Shukharev
Russian Federation
Sergey A. Shukharev, Cand. Sci. (Eng.), Associate Professor
Khabarovsk, 680021
A. V. Gulyaev
Russian Federation
Aleksander V. Gulyaev, Associate Professor
Khabarovsk, 680021
References
1. Kostenko M. P. Elektricheskie mashiny. Spetsial'naya chast' [Electric machines. Special part]. Leningrad, Gosenergoizdat Publ., 1949, 708 p.
2. Blaschke F. Das Prinzip der Feldorientierung, die Grundlage für die Transvektor-Regelung von Drehfeldmaschinen. Siemens- Zeitschrift 45, 1971, Heft 10, pp. 757 – 760 (in German).
3. Vas P. Sensorless Vector and Direct Torque Control. Oxford University Press, 1998, 729 p.
4. Pradeep J., Devanathan R. Adoption of Park’s Transformation for Inverter Fed Drive. International Journal of Power Electronics and Drive System, 2015, Vol. 5, no. 3, pp. 366 – 373.
5. Usol'tsev A. A. Chastotnoe upravlenie asinkhronnymi dvigatelyami. Ucheb. posobie [Frequency control of asynchronous motors. Textbook]. St. Petersburg, SPbGU ITMO Publ., 2006, 94 p.
6. Kalachev Yu. N. Vektornoe regulirovanie. Metod. posobie [Vector regulation. Methodological guide]. Moscow, EFO Publ., 2013, 63 p.
7. Pokrovskiy S. V. Sistema upravleniya i diagnostiki elektrovoza EP10 [EP10 electric locomotive control and diagnostics system]. Moscow, Intext Publ., 2009, 356 p.
8. Kalachev Yu. N. SimInTech: modelirovanie v elektroprivode [SimInTech: modeling in an electric drive]. Moscow, DMK Press Publ., 2019, 98 p.
9. Yousef A., Abdelmaksoud S. Review on Field Oriented Control of Induction Motor. International Journal for Research in Emerging Science and Technology, 2015, Vol. 2, no. 7, p. 12.
10. Mekrini Z., Bri S. A Modular Approach and Simulation of an Asynchro-nous Machine. International Journal of Electrical and Computer Engineering, 2016, Vol. 4, no. 6, p. 10.
11. Eshkabilov S. Beginning MATLAB and Simulink: From Novice to Profes-sional. New York, Apress Publ., 2019, 544 p.
12. Terekhin V. B. Modelirovanie sistem elektroprivoda v Simulink (Matlab 7.0.1). Ucheb. posobie [Modeling of electric drive systems in Simulink (Matlab 7.0.1). Tutorial]. Tomsk, Izd-vo Tomskogo politekhn. un-ta [Publishing house of Tomsk Polytechnic University], 2008, 320 p.
13. Kulinich Yu. M., Shukharev S. A. Application of an Extreme Control System to Operate the Reactive Power Compensator of an Electric Locomotive. Russian Electrical Engineering, 2016, Vol. 2, no. 87, pp. 84 – 86.
14. Rastrigin L. A. Sistemy ekstremal'nogo upravleniya [Systems of extremal control]. Moscow, Nauka Publ., 1974, 630 p.
Review
For citations:
Kulinich Yu.M., Shukharev S.A., Gulyaev A.V. Increasing the energy efficiency of auxiliary machines of AC electric locomotive. RUSSIAN RAILWAY SCIENCE JOURNAL. 2021;80(5):276-284. (In Russ.) https://doi.org/10.21780/2223-9731-2021-80-5-276-284