Using Average DC-Pulse Response of Stator Current for Identification of Axial Flux Single-Phase Rotary Transformer Parameters

Tootoonchian, F.; Ardebili, M.; Abbaszadeh, K.

Artykuł - szczegóły

Tytuł artykułu

Using Average DC-Pulse Response of Stator Current for Identification of Axial Flux Single-Phase Rotary Transformer Parameters

Autorzy

Tootoonchian F. , Ardebili M. , Abbaszadeh K.

Wybrane pełne teksty z tego czasopisma

http://pe.org.pl/

Identyfikatory

Warianty tytułu

Identyfikacja parametrów jednofazowego osiowo transformatora wirującego o strumieniu osiowym na podstawie średniej odpowiedzi prądu stojana na skokową zmianę DC

Języki publikacji

Abstrakty

Axial flux rotary transformers (AFRT) are used to transfer exciting signal into field winding of axial flux resolvers (AFRs). Accurate prediction of AFR dynamic performance is related to precise modelling and parameter identification of AFRT. This paper presents a new metod based on DC-Pulse response of stator current for parameter identification of an AFRT. AFRT model was simulated with estimated parameters. Finally, the identified parameters were validated by comparing these simulation results with experimental test and 3D time stepping finite element analysis.

Artykuł przedstawia nową metodę identyfikacji parametrów transformatorów wirujących o strumieniu osiowym bazującą na odpowiedzi prądu stojana na skokową zmianę DC. Weryfikacji parametrów, dokonano poprzez wykorzystanie ich w badaniach symulacyjnych transformatora wirującego i porównanie wyników z badaniami eksperymentalnymi oraz trójwymiarową analizą metodą elementów skończonych.

Słowa kluczowe

axial flux rotary transformer parameter Identification 3D time stepping finite element analysis axial flux resolver

transformator wirujący o strumieniu osiowym identyfikacja parametrów trójwymiarowa analiza metodą elementów skończonych resolwer o strumieniu osiowym

Wydawca

Wydawnictwo SIGMA-NOT

Czasopismo

Przegląd Elektrotechniczny

Rocznik

2012

Tom

R. 88, nr 11a

Strony

142--146

Opis fizyczny

Bibliogr. 17 poz, rys., tab.

Twórcy

autor

Tootoonchian F.

autor

Ardebili M.

autor

Abbaszadeh K.

K. N. Toosi University of Technology, Tehran, Iran, Tootoonchian@iust.ac.ir

Bibliografia

[1] D. A. Khaburi, F. Tootoonchian and Z. Nasiri-Gheidari, “Dynamic Performance Prediction of Brushless Resolver”, Iranian Journal of Electrical & Electronic Engineering, vol. 4, no. 3, pp. 94-103, July 2008.
[2] D. A. Khaburi, F. Tootoonchian, "Design, Parameter Identification and Simulation of a Radial Flux Rotary Transformer", Proc. of Iranian Conf. of Electrical Eng., (ICEE2007), Tehran, Iran, 12-15 march, 2007, PP. 572-577.
[3] R. Tiwari, "Resolver Based Encoders", Sensors, vol. 10, no. 4, pp. 29-34, 1993.
[4] F. Tootoonchian, A. Vahedi, D.A. Khaburi, "Single-Phase Induction Motor Characteristic Determination Based on Identified Parameters", Power System Conference (PSC2005) Proc., Tehran, Iran, 13-15 Nov. 2005, pp. 721-725.
[5] A.Gastli, "Identification of Induction Motor Equivalent Circuit Parameters Using the Single-Phase Test", IEEE Trans. On Energy Conversion, vol. 14, no. l, March 1999.
[6] O. Kowalska, J. Lis, "Application of evolutionary algorithms with adaptive mutation to the identification of induction motor parameters at standstill", The International Journal for Computation and Mathematics in Electrical and Electronic Engineering-COMPEL, vol. 28, no. 6, pp. 1647-1661, 2009.
[7] H. Wiktor, J. Kazimierz, "Identification of mathematical model induction motor's parameters with using evolutionary algorithm and multiple criteria of quality", 13th International Power Electronics and Motion Control Conf. (EPE-PEMC2008) Proc., Poznan, Germany, 1-3 Sept. 2008, pp. 912-915.
[8] L. Z. Martinez, A. Z. Martinez, "Identification of Induction Machines Using Artificial Neural Networks", Proc. of IEEE International Symposium on Industrial Electronics (ISIE 97), vol. 3, pp. 1259-1264, 7-11 July 1997.
[9] N. Kabache, B. Chetate, "Adaptive Nonlinear Control of Induction Motor Using Neural Networks", Physics and Control International Conf. Proc., vol. l, pp. 259-264, Aug. 20-22, 2003.
[10] C. Cecati, N. Rotondale, "On-Line Identification of Electrical Parameters of the Induction Motor Using RLS Estimation", Proc. of 24th Annual Conference of the IEEE Industrial Electronics Society (IECON98), Aachen, Germany, 1-4 Sept. 1998, vol. 4, pp. 2263-2268.
[11] C. B. Jacobina, J.E.Chaves, A.M.N.Lima and L.A.S.Ribeiro, "A New Method for Estimating All Electrical Parameters of Induction Machines", Proc. of Thirty-Third IAS IEEE Annual Meeting of Industry Applications Conf., Missouri, 12-15 Oct. 1998, vol. 1, pp. 265-270.
[12] T. Noguchi, P. Nakmahachalasint, N. Watanakul, "Precise Torque Control of Induction Motor with On-Line Parameter Identification in Consideration of Core Loss", Power Conversion Conference Proc., Nagaoka, Japan, 3-6 Aug. 1997, vol. 1, pp. 113-118.
[13] I. Ziary, A. Vahedi, "Identification of Single-Phase Induction Motor Parameters Using Average Charge Response of Stator Currents", Proc. of 12th Iranian Con. on Electrical Engineering (ICEE2004), Tehran, Iran, 14-15 May, 2004, vol.1, pp.260-264.
[14] H. Lesani, Z. Nasiri Gheidari, F. Tootoonchian “A Novel P.C. Base Electromotor’s Dynamometery”, Proc. of 3rd Int. Conf. On Technical and Physical Problems in Power Engineering (TPE- 2006), Ankara, Turkey, 29-31 May, 2006, pp. 222-226,.
[15] H. Lesani, Z.Nasiri-Gheidari, F.Tootoonchian, “A New Method for Dynamometry of Single Phase Induction Motors”, In Persian, Journal of Iranian Association of Electrical and Electronics Engineers, vol. 5, no 1, pp. 68-79, 2008.
[16] P.C. Krause, “Analysis of Electrical Machinery”, McGraw-Hill series in electrical engineering, Power & energy, 1986.
[17] C.M. Ong, “Dynamic Simulation of Electric Machinery Using Matlab/Simulink”, Prentice Hall PTR. Upper Saddle River, New Jersey, 1998.

Typ dokumentu

Bibliografia

Identyfikator YADDA

bwmeta1.element.baztech-article-BPS4-0004-0072