Adaptive Automatic System of Controlling Acceleration Characteristics of Electromechanical Converters with an Observing Identification Tool

• Autorzy: Kalabayeva Aidana , Wójcik Waldemar , Kashaganova Gulzhan , Togzhanova Kulzhan , Sarybayeva Zhaksygu

Identyfikatory

DOI

10.24425/ijet.2023.146515

• Języki publikacji: EN

Abstrakty

EN

The operating modes of the automatic control system for electromechanical converters for synchronization of rotor speeds have been developed and investigated. The proposed automatic speed control system allows adjusting the slave engine to the master one in a wide range from 0 to 6000 rpm. To improve the synchronization accuracy an adaptive algorithm is proposed that allows to increase the synchronization accuracy by 3-4 times. The proposed model of an adaptive automatic control system with an observing identification tool makes it possible to minimize the error in the asynchrony of the rotation of the rotors of two electromechanical converters.

Słowa kluczowe

EN

electromechanical converters; adaptive system; control systems; identification

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2023
• Tom: Vol. 69, No. 3
• Strony: 615--620
• Opis fizyczny: Bibliogr. 17 poz., rys., wykr.

Twórcy

autor

Kalabayeva Aidana

• Academy of Logistics and Transport, Almaty, Kazakhstan, Almaty University of Power Engineering and Telecommunications Almaty, Kazakhstan

autor

Wójcik Waldemar

• Lublin University of Technology, Lublin, Poland

autor

Kashaganova Gulzhan

• Turan University, Almaty, Kazakhstan

autor

Togzhanova Kulzhan

• Almaty Technological University, Almaty, Kazakhstan

autor

Sarybayeva Zhaksygu

• Academy of Logistics and Transport, Almaty, Kazakhstan

Bibliografia

• [1] S. Chernyi, P. Erofeev, B. Novak, V. Emelianov, “Investigation of the mechanical and electromechanical starting characteristics of an asynchronous electric drive of a two-piston marine compressor”, Journal of Marine Science and Engineering, 9 (2), 207, 2021. https://doi.org/10.3390/jmse9020207
• [2] D. Ding, Q. Han, Z. Wang, X. Ge, “A survey on model-based distributed control and filtering for industrial cyber-physical systems”, IEEE Transactions on Industrial Informatics, 15 (5), pp. 2483-2499, 2019. https://doi.org/10.1109/TII.2019.2905295
• [3] L. Lindemann, D. Dimarogonas, “Control barrier functions for signal temporal logic tasks”, IEEE control systems letters, 3 (1), pp. 96-101, 2018. https://doi.org/10.1109/LCSYS.2018.2853182
• [4] S. Madakam, R. Holmukhe, D. Jaiswal, “The future digital work force: robotic process automation (RPA)”, JISTEM-Journal of Information Systems and Technology Management, 16, 2019. https://doi.org/10.4301/S1807-1775201916001
• [5] D. Limon, T. Alamo, “Tracking model predictive control”, Encyclopedia of Systems and Control, Springer International Publishing, pp. 2336-2345, 2021. https://doi.org/10.1007/978-3-030-44184-5_300014
• [6] I. Y. Ostrovlyanchik, I. Y. Popolzin, “Equivalent model of a dually-fed machine for electric drive control systems”, In IOP Conference Series: Materials Science and Engineering, Vol. 354, No. 1, p. 012017, 2018. https://doi.org/10.1088/1757-899X/354/1/012017
• [7] S. Ganguli, A. Kumar, G. Kaur, P. Sarkar, S. Rajest, “A global optimization technique for modeling and control of permanent magnet synchronous motor drive”, Innovations in Information and Communication Technology Series, pp. 074-081, 2021. https://doi.org/10.46532/978-81-950008-7-6_007
• [8] M. Jabłoński, “The analysis of functional parameters and modification of steering algorithms in vector control converter drive with an induction motor”, Zeszyty Naukowe. Elektryka/Politechnika Łódzka, 111, pp. 19-24, 2007. https://www.infona.pl/resource/bwmeta1.element.baztech-article-LOD1-0013-0012
• [9] O. M. Vasilevskyi, P. I. Kulakov, K. V. Ovchynnykov, V. M. Didych, “Evaluation of dynamic measurement uncertainty in the time domain in the application to high speed rotating machinery”, International Journal of Metrology and Quality Engineering, 8, 25, 2017. https://doi.org/10.1051/ijmqe/2017019
• [10] M. Jabłoński, P. Borkowski, “Correction mechanism for balancing driving torques in an opencast mining stacker with an induction motor and converter drive system”, Energies, 15 (4), 1282, 2022. https://doi.org/10.3390/en15041282
• [11] K. Herbuś, P. Ociepka, “Mapping of the Characteristics of a Drive Functioning in the System of CAD Class Using the Integration of a Virtual Controller with a Virtual Model of a Drive”, In Applied Mechanics and Materials, Vol. 809, pp. 1249-1254, 2015. https://www.scientific.net/AMM.809-810.1249
• [12] O. M. Vasilevskyi, “Metrological characteristics of the torque measurement of electric motors”, International Journal of Metrology and Quality Engineering, 8, 7, 2017. https://doi.org/10.1051/ijmqe/2017005
• [13] V. I. Malarev, A. V. Kopteva, R. A. Nogtev, “Electric drive simulation for drilling machine spinner”, In IOP Conference Series: Earth and Environmental Science, Vol. 194, No. 5, p. 052012, 2018. https://doi.org/10.1088/1755-1315/194/5/052012
• [14] A. A. Radionov, V. R. Gasiyarov, A. S. Karandaev, V. R. Khramshin, “Use of automated electric drives for limiting dynamic loads in shaft lines of roll mill stands”, The Journal of Engineering, 17, pp. 3578-3581, 2019. https://doi.org/10.1049/joe.2018.8135
• [15] O. Vasilevskyi, P. Kulakov, D. Kompanets, O. Lysenko, V. Prysyazhnyuk, W. Wójcik, D. Baitussupov, “A new approach to assessing the dynamic uncertainty of measuring devices”, In Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, Vol. 10808, 108082E, pp. 728-735, 2018. https://doi.org/10.1117/12.2501578
• [16] A. Kalabaeva, W. Wojcik, G. Kashaganovа, K. Togzhanova, A. Kasymova, “Automatic control system for electromechanical converters”, The Bulletin of KazATC, 4 (123), 2022, pp. 339-346. https://doi.org/10.52167/1609-1817-2022-123-4-339-346
• [17] O. A. Kundyukov, M. P. Belov, V. I. Korolev, N. C. Blagodarnyy, K. K. Ershov, “Analysis and Prospects of Development of Electric Drives of Metalworking Machines”, In 2022 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, pp. 726-730, 2022. https://doi.org/10.1109/ElConRus54750.2022.9755587

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).