Redefinition of electromagnetic parameters of induction motors as part of variable-frequency electric drives with technological feedback

• Autorzy: Zagirnyak Mykhaylo , Prus Viacheslav

Identyfikatory

DOI

10.15199/48.2021.04.21

Warianty tytułu

PL

Re-definicja parametrów elektromagnetycznych w silnikach indukcyjnych jako części zmienno-częstotliwościowych napędów elektrycznych ze sprzężeniem technologicznym

• Języki publikacji: EN

Abstrakty

EN

The features of taking into account the change in the properties of the main structural units of induction motors with a high mean-timebetween-failure when identifying their electromagnetic parameters are considered. It enabled the practical research and substantiation of the method of using the obtained results in systems of the industrial variable-frequency electric drive. The efficiency of the proposed solutions for improving energy parameters and ensuring the necessary quality indicators for the regulation of electric drives of pumping and ventilating equipment provided with technological feedback is confirmed.

PL

Uwzględniono cechy zmienności głównych zespołów konstrukcyjnych silników indukcyjnych o wysokim średnim czasie międzyawaryjnym przy identyfikacji ich parametrów elektromagnetycznych. Umożliwiło to praktyczne badania i uzasadnienie metody wykorzystania uzyskanych wyników w układach przemysłowego napędu elektrycznego o zmiennej częstotliwości. Potwierdzono skuteczność proponowanych rozwiązań w zakresie poprawy parametrów energetycznych oraz zapewnienia niezbędnych wskaźników jakościowych do regulacji napędów elektrycznych urządzeń pompowo-wentylacyjnych wyposażonych w sprzężenie zwrotne technologiczne.

Słowa kluczowe

EN

induction motor; frequency converter; electromagnetic parameters; identification; automatic adaptation

PL

silnik indukcyjny; przemiennik częstotliwości; parametry elektromagnetyczne; identyfikacja; automatyczna adaptacja

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2021
• Tom: R. 97, nr 4
• Strony: 117--120
• Opis fizyczny: Bibliogr., 31 poz., rys., tab.

Twórcy

autor

Zagirnyak Mykhaylo

• Ostrohradskyi National University, Professor, 20, Pershotravneva street, Kremenchuk, 39600, Ukraine

autor

Prus Viacheslav

• Ostrohradskyi National University, Professor, 20, Pershotravneva street, Kremenchuk, 39600, Ukraine

Bibliografia

• [1] Belas E., Bogoboyashchyy V. V., Grill R., Izhnin I . I ., Vlasov A. P., Yudenkov V. A., Time relaxation of point defects in p- and n-(HgCd)Te after ion milling, Journal of Electronic Materials, nr 7, vol. 32, pp. 698-702, 2003.
• [2] Zagirnyak M., Kovalchuk V., Korenkova T. , Power model of an electrohydraulic complex with periodic nonlinear processes in the pipeline network”, 2015 International Conference on Electrical Drives and Power Electronics, EDPE 2015 − Proceedings, 2015, pp. 345−352.
• [3] Zagirnyak M., Maliakova M. and Kalinov A. , Compensation of higher current harmonics at harmonic distortions of mains supply voltage, 2015 16th International Conference on Computational Problems of Electrical Engineering (CPEE), Lviv, 2015, pp. 245-248, doi: 10.1109/CPEE.2015.7333388.
• [4] Almashakbeh A.S. , Prus V. , Zagi rnyak M. , Models for electric machine reliability prediction at variation of the condition of basic structural units, Przeglad Elektrotechniczny (Electrical Review) 93, nr 1, pp. 117–120, 2017, doi: 10.15199/48.2017.01.28.
• [5] Zagirnyak M., Prus V., Somka, O., Reliability models of electric machines with structural defects, Proceedings 2015 16th International Conference on Computational Problems of Electrical Engineering, CPEE 2015, 2015, pp. 249-251, doi: 10.1109/CPEE.2015.7333389
• [6] Zagi rnyak M. , Prus V. , The special features of the change of electromagnetic parameters of electric machines with long mean-time between failures, Przeglad Elektrotechniczny (Electrical Review), 94, nr 1, pp. 117–120, 2018, doi: 10.15199/48.2018.01.30.
• [7] Zagi rnyak M. , Prus V. , Mi l javec D. , Improved method for calculation of parameters of electromagnetic and power processes in electric circuits with steel in saturation mode, Technical Electrodynamics, nr 4, pp. 12–18, 2015.
• [8] P rus V. , Somka O. , Nik i t ina A. , The determination of the condition of the windings of electric machines with long mean-time-between failures, Proceedings of the International Conference on Modern Electrical and Energy Systems, MEES 2017, pp. 164–167, doi: 10.1109/MEES.2017.8248879.
• [9] Zagi rnyak M. , Mamchur D. , Kal inov A. , Induction motor diagnostic system based on spectra analysis of current and instantaneous power signals, IEEE SOUTHEASTCON 2014, 2014, doi: 10.1109/secon.2014.6950721.
• [10] Hasegawa M., Ogawa D., Matsui K., Parameter Identification Scheme for Induction Motors Using Output Inter- Sampling Approach, Asian Power Electronics Journal, nr 1, vol. 2, pp. 15–22, 2013.
• [11] Lee K., Frank S., Sen P.K. and other , Estimation of induction motor equivalent circuit parameters from nameplate data, Proc. 2012 North American Power Symposium (NAPS), Urbana, pp. 1–6, 2012.
• [12] Rodkin D. I . , Solution of one class of incorrect electrical tasks energy method, Electromekhanichni i enrgozberigayuchi sistemy, nr 21, vol. 1, pp. 69 – 80, 2007. (Rus.)
• [13] Koubaa Y. , Recursive identification of induction motor parameters, Simulation modeling practice and theory, pp. 363– 381, 2004.
• [14] Reznik D.V., Rodkin D.I., Romashykhin Yu.V., Features of the definition of electromagnetic parameters of induction motors using low-frequency test voltage, Alternating Current Electrical Drives: Proceeding of the Fourteenth International Scientific Technical Conference, Ekaterinburg, pp. 279–283, 2007. (Rus.)
• [15] Lar in А . М., Abdessalem L., Larina I. I., Experimental determination of the frequency characteristics of induction machines at different levels of saturation, Electrotechnics and Electromechanics, nr 4, pp. 52–58, 2003. (Rus.)
• [16] Vinogradov А . B. , Taking into account losses in steel, saturation and surface effect when modeling dynamic processes in a frequency-controlled induction electric drive, Electrotekhnika, nr 5, pp. 57–61, 2005.
• [17] Voldek А . I . , Electric machines, L.: Energiia, 1985. (Rus.)
• [18] Hamid A. Toliyat, Subhasis Nandi, Seungdeog Choi, Homayoun Meshgin-Kelk, Electric Machines: Modeling, Condition Monitoring, and Fault Diagnosis, CRC Press, October 30, 2012.
• [19] J immi e J . Cathey, Electric machines: analysis and design applying Matlab, Boston: McGraw–Hill, 2001.
• [20] Rogozin G. G., Determination of the electromagnetic parameters of AC machines. New experimental methods, K.: Tekhnika, 1992. (Rus.)
• [21] GOST 7287–87. Rotating electrical machines. Induction motors. Test methods, М.: Goskomstandart, 1987. (Rus.)
• [22] IEEE Standard Test Procedure for Polyphase Induction Motors and Generators. IEEE Std. 112-1996. IEEE Power Engineering Society, New York, 1996.
• [23] Babau R., Boldea I . , Parameter identification for large induction machines using direct online startup test, Workshop on Electrical Machines Parameters, Technical University of Cluj-Napoca, Romania, (2001), pp. 47–52.
• [24] Zher ve G. K. , Industrial testing of electrical machines, L.: Energoatomizdat, 1984. (Rus.)
• [25] Yazid K., Ibtiouen R., Touhami O., Fadel M., Application of EKF to parameters estimation for speed sensorless and neural network control of an induction motor, Proceedings of the 6th WSEAS International conference on power system., Lisbon, Portugal, (2006), pp.279–283.
• [26] Jancovie M., Zalman M., Jovankovi e J . , Parameter identification of induction motors by using genetic algorithms, IEEE 34th Confernce on Industrial Electronics, pp. 407–415.
• [27] Megherbi A. C., Megherbi H., Benmahamed K. and other, Parameter identification of induction motors using variable-weight cost function of genetic algorithms, Journal of electrical engineering and technology, nr 4, vol. 5, pp. 597– 605, 2010.
• [28] Cirincione M., Pucci M., Girrincione G., Calolino G. , A new experimental application of least-squares techniques for the estimation of the induction parameters, Journal of electrical engineering and technology, pp. 345–349, 2002.
• [29] Karanayil B., Rahman M. F., Grantham G., Rahman M. A. , On-line parameter identification using artificial neural networks for vector controlled induction motor drive, 3rd International conference on electrical and computer engineering., Dhara, Bangladesh, pp. 23-26, 2004.
• [30] Zagirnyak M. , Kal i nov A., Melnykov V. and Kochurov I . , Correction of the operating modes of an induction motor with asymmetrical stator windings at vector control, 2015 International Conference on Electrical Drives and Power Electronics (EDPE), pp. 259-265, 2015, doi: 10.1109/edpe.2015.7325303.
• [31] Peresada S. М., Sereda А . N. , A new algorithm for identifying electrical parameters of an induction motor based on an adaptive full-order observer, Tekhnichna elektrodynamika, nr 5, pp. 32–40, 2005.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).