The design of field-oriented control system with artificial neural network to control faulty induction motor

• Autorzy: Yatsiuk Rostyslav , Mamchur Dmytro

Identyfikatory

DOI

10.15199/48.2020.09.06

Warianty tytułu

PL

Projekt systemu sterowania zdrowym lub uszkodzonym silnikiem indukcyjnym a wykorzystującego sieci neuronowe

• Języki publikacji: EN

Abstrakty

EN

The paper deals with development neural network controller to ensure safe and reliable operation of damaged induction motor. It was chosen field-oriented control algorithm as a basis for neural controller aimed to provide reliable control signals both for healthy and damaged motor. It was investigated different compositions of neural network model. It was received simulation results for modified field-oriented control algorithm with neural network regulator, which showed similar results comparing to original model for healthy motor, which confirms correctness of developed model.

PL

Opisano zastosowanie sterownika wykorzystującego sieci neuronowe do stabilnej i niezawodnej pracy zdrowego lub uszkodzonego silnika indukcyjnego.

Słowa kluczowe

EN

induction motor; field-oriented control; artificial neural network

PL

sterownik; silnik indukcyjny; sieć neuronowa

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2020
• Tom: R. 96, nr 9
• Strony: 30--33
• Opis fizyczny: Bibliogr. 13 poz., rys., tab.

Twórcy

autor

Yatsiuk Rostyslav

• Kremenchuk Mykhailo Ostrohradskyi National University, Ukraine, vul. Pershotravneva, 20, 39600, Kremenchuk

autor

Mamchur Dmytro

• Kremenchuk Mykhailo Ostrohradskyi National University, Ukraine, vul. Pershotravneva, 20, 39600, Kremenchuk

Bibliografia

• [1] Zagirnyak M., Kalinov A., Maliakova M., “An algorithm for electric circuits calculation based on instantaneous power component balance”, Przeglad Elektrotechniczny, vol. 87, no. 12 B, pp. 212-215, 2011.
• [2] V. Prus, A. Nikitina, M. Zagirnyak, D. Miljavec. “Research of rnergy processes in circuits containing iron in saturation condition”, Przeglad Elektrotechniczny, vol. 87, no. 3, pp. 149-152, 2011.
• [3] V. Melnykov, A. Kalinov, “Compensation the induction motor parametrical asymmetry”, Technical Electrodynamics, no. 3, pp. 85-86, 2012.
• [4] M. Zagirnyak, M. Maliakova, A. Kalinov, “Analysis of operation of power components compensation systems at harmonic distortions of mains supply voltage”, Joint International Conference ? ACEMP 2015: Aegean Conference on Electrical Machines and Power Electronics, OPTIM 2015: Optimization of Electrical and Electronic Equipment and ELECTROMOTION 2015: International Symposium on Advanced Electromechanical Motion Systems, pp. 355-362, 2016. DOI: 10.1109/OPTIM.2015.74269
• [5] Voldek A., Popov V. “Electrical machines. Alternate current machines: Textbook for Universities”, SPb.: Piter, 2010, 350 p. (in Russian)
• [6] Musin A. “Induction motor fault operation modes and ways of their protection”, Moscow, Kolos, 1979, 112 p. (in Russian).
• [7] Mandych K. “Electric motor repairing”, Kyiv, Technica, 1989, 152 p. (in Russian)
• [8] Kopylov I. “Electric machines: Textbook for Universities. Second edition”, Moscow, Higher School, Logos, 2000, 607 p. (in Russian)
• [9] Syromiatnikov I. “Induction and synchronous motors operation modes. Fourth edition”, Moscow, Energoatomizdat, 1984, 240 p. (in Russian)
• [10] Zagirnyak M.V., Kalinov A.P., Melnykov V. O., "Variable-frequency electric drive with a function of compensation for induction motor asymmetry”, in Proc. of IEEE First Ukraine conference on electrical and computer engineering (UKRCON). Kyiv, Ukraine, 2017, pp. 338-344.
• [11] Zagirnyak M.V., Melnikov V. O., Kalinov A.P., Kochurov I., “Correction of the Operating Modes of an Induction Motor with Asymmetrical Stator Windings at Vector Control”, in Proc. of 2015 International Conference on Electrical Drives and Power Electronics (EDPE), Tatranska Lomnica, The High Tatras, Slovakia, 2015, pp. 259-265.
• [12] Terehov V. at a l. “Neural network control systems”, SPb, Saint Pertersbourg University publixhing house, 1999, 265 p.
• [13] Sigeru Omatu, Marzuki Halid, Rubia Yousuf, “Neural control and its applications. Book 2”, Moscow, SPRZhR publishing, 2000, 272 p. (in Russian)

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).