Improving metrological properties of electric traction energy meters using fuzzy controllers

• Autorzy: Dominikowski B. , Pacholski D. , Anuszczyk J. , Gocek A.

Identyfikatory

DOI

10.21307/tp. 2018.13.1.13

• Języki publikacji: EN

Abstrakty

EN

This paper presents the possibility of using a fuzzy controller to correct metrological properties of an electric traction energy meter. So far, no algorithms based on fuzzy logic to determine the desired conversion value of the current channel of the electricity meter have been applied. Currently, for the mentioned channel, conventional methods of gain determination are used, based on a sequential algorithm that controls operation of the programmable gain amplifier. The proposed corrector is designed for smart and continuous modification of the conversion factor of the low-voltage input part of the current channel in the electric energy meter. The authors have performed an accurate analysis of the current function in the main circuit of an electric locomotive by creating a model of a traction inverter subject to asynchronous motor load. An essential concept is this paper is to present the possibility of having a multi-input fuzzy controller split into two-input controllers connected in parallel and cascade. By performing a computer simulation of systems used for correcting metrological properties of electric traction energy meters, it has been proven that the applied fuzzy systems, based on an expert’s knowledge of digitally controlled PGA (Programmable Gain Amplifier) type operational amplifiers, are advantageous.

Słowa kluczowe

EN

gain factor correction; traction meter; Mamdani model; Takagi-Sugeno model

PL

korekcja współczynnika wzmocnienia; miernik trakcji; model Mamdaniego; model Takagi-Sugeno

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Transport Problems
• Rocznik: 2018
• Tom: T. 13, z. 1
• Strony: 147--158
• Opis fizyczny: Bibliogr. 17 poz.

Twórcy

autor

Dominikowski B.

• Lodz University of Technology, Faculty of Electrical, Electronic Computer and Control Engineering, Institute of Electrical Engineering Systems Stefanowskiego 18/22, 90-924 Łódź, Poland

autor

Pacholski D.

• Lodz University of Technology, Faculty of Electrical, Electronic Computer and Control Engineering, Institute of Electrical Engineering Systems Stefanowskiego 18/22, 90-924 Łódź, Poland

autor

Anuszczyk J.

• Lodz University of Technology, Faculty of Electrical, Electronic Computer and Control Engineering, Institute of Electrical Engineering Systems Stefanowskiego 18/22, 90-924 Łódź, Poland

autor

Gocek A.

• Lodz University of Technology, Faculty of Electrical, Electronic Computer and Control Engineering, Institute of Electrical Engineering Systems Stefanowskiego 18/22, 90-924 Łódź, Poland

Bibliografia

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• 2. Dębowski, A. & Lewandowski, D. Napęd trakcyjny o obniżonej częstotliwości przełączeń. Pojazdy Szynowe. 2011. No. 3. P. 6-12. [In Polish: Drive traction with reduced switching frequency. Railway vehicles].
• 3. Haq, H. & Imran, M.H.I. & Okumus & Habibullah, M. Speed Control of Induction Motor using FOC Method. International Journal of Engineering Research and Applications. (Part 1) March 2015. Vol. 5. No. 3. P.154-158.
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• 6. Biliński, J. & Buta, S. & Gmurczyk, E. & Kaska, J. Nowoczesny asynchroniczny napęd z hamowaniem odzyskowym produkcji MEDCOM do zmodernizowanych elektrycznych zespołów trakcyjnych serii EN57AKŁ. Technika Transportu Szynowego. 2004. Vol. 12. P. 20-25. [In Polish: Modern asynchronous electric drive with regenerative braking production by MEDCOM to modernized electric multiple units series EN57AKŁ. Rail Transport Technique].
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• 9. Mihaela Popescu & Alexandru Bitoleanu & Vlad Suru. Indirect Current Control in Active DC Railway Traction Substations. Proceedings of ACEMP-OPTIM-ELECTROMOTION Joint Conference. Side - Turkey. 2-4 September 2015, P. 192-197.
• 10. Rojek, A. Tabor i trakcja kolejowa. PKP. 2010. [In Polish: Rolling stock and railway traction].
• 11. Tolber, L.M. & Hollis, H.D. & Hale, J.P.S. Survey of Harmonics Measurements in Electrical Distribution Systems. IEEE IAS Annual Meeting. Oct 6-10. 1996. P. 549-557.
• 12. Tisserand, E. & Berviller Y. Design and implementation of a new digital automatic gain control. Electronics Letters. 27th October 2016. Vol. 52. No. 22. P. 1847-1849.
• 13. Liang Zhang & Jong-won Kim. Design and pass band analysis of automatic gain control circuit using fuzzy. In: ICNC-FSKD (International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery). 2016. P. 995-1000.
• 14. Pérez J.P.A. & Santiago Celma Pueyo & Belén Calvo López. Automatic Gain Control. Techniques and Architectures for RF Receivers. Springer. 2011.
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• 17. Driankov, D. & Reinfrank, M. An Introduction to Fuzzy Control. Springer. 1993.

Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018)