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Estimation of parameters of selected converter drives

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Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents a method for estimation of converter drive parameters. This estimation encompassed three types of drives, i.e. a static Scherbius drive, a driver with a brushless direct current (BLDC) motor and a drive with a voltage inverter. For drive modelling and parameter estimation, the author implemented original program mes written in FORTRAN. As well as these, the paper describes an objective function applied for the estimation. The author also compares gradient and gradientless methods, chich are applied for minimization of the objective function. Finally, the author explains the estimation results for example drives, focusing on the coincidence of theoretical and empirical waveforms. The abovementioned procedure led to the general rule, which facilitates estimation efficiency.
Rocznik
Strony
535--565
Opis fizyczny
Bibliogr. 36 poz., tab., rys.
Twórcy
autor
  • Faculty of Electrical Engineering, Automatic Control and Computer Science Opole University of Technology Sosnkowskiego 31, 45-272 Opole, Poland, r.beniak@po.opole.pl
Bibliografia
  • [1] Aliprantis D.C., Sudhoff S.D., Kuhn B.T., Genetic Algorithm-Based Parameter Identification ofa Hysteretic Brushless Exciter Model. IEEE Transactions on Energy Conversion, 2006 21(1): 148-154.
  • [2] Beniak R., A Method of Calculation of Branch Voltages in a Variable-structural Process of MathematicalModelling of Converter Drives. ICEM-2004 2, Kraków (2004).
  • [3] Beniak R., Waindok A., Zimon J., Application of minimization methods in modeling of converterdrives. Electr. Review 1(11): 231-234 (2007).
  • [4] Beniak R., A formalised variable structure method of modelling converter drives. Electrical Review 3: 83-87 (2009).
  • [5] Beniak R., Comparison of Gradient and Gradientless Methods of the Dynamic Estimation of StaticScherbius Drive Parameters. Zeszyty Naukowe Elekryka No 788/91 SME'98, Łódź pp: 189-194 (1998).
  • [6] Beniak R., The Estimation of the Brushless DC Motor Parameters by Use of Modified Jeeves &Hook Method, International Conference on Electrical Machines, ICEM'2002, on CD (25-28.08), Brugge, Belgium (2002).
  • [7] Beniak R., Gardecki A., Multivariate analysis of selected states of the converter drive that allowsevaluating efficiency and environmental impact of power electronic part of drive. Electrical Review 87(2): 22-25 (2011).
  • [8] Boroujeni S.T., Bianchi N., Alberti L., Fast Estimation of Line-Start Reluctance Machine Parametersby Finite Element Analysis. IEEE Transactions on Energy Conversion 26(1): 1-8 (2011).
  • [9] Brandt S., Data Analysis. Statistical and Computional Methods for Scientists and Engineers. Springer Verlag (1999).
  • [10] Calvo M., Malik O.P., Synchronous Machine Steady-State Parameter Estimation Using Neural Networks. IEEE Transactions on Energy Conversion 19(2): 237-244 (2004).
  • [11] Chudamani R., Vasudevan K., Ramalingam C.S., Real-Time Estimation of Power System FrequencyUsing Nonlinear Least Squares. IEEE Transactions on Power Delivery 24(3): 1021-1028 (2009).
  • [12] Danai K., McCusker J.R., Parameter Estimation by Parameter Signature Isolation in the Time-Scale Domain, Journal of Dynamic Systems, Measurement and Control 131: 041008-1-041008-11 (2009).
  • [13] Gear C.W., Numerical Initial Value Problems in Ordinary Differential Equations. Prentice-Hall, Englewood Clifs (1971).
  • [14] Gondhalekar A.C., Petrov E.P., Imregun M., Parameters Identification for Nonlinear Dynamic SystemsVia Genetic Algorithm Optimization. Journal of Computational and Nonlinear Dynamics 4: 041002-1-041002-9 (2009).
  • [15] Haque M.H., Determination of NEMA Design Induction Motor Parameters From ManufacturerData. IEEE Transactions on Energy Conversion 23(4): 997-1004 (2008).
  • [16] Holtz J., Quan J., Sensorless Vector Control of Induction Motors at Very Low Speed Using a NonlinearInverter Model and Parameter Identification. IEEE Transactions on Industry Applications 38(4): 1087-1095 (2002).
  • [17] Huang J., Corzine K.A., Belkhayat M., Online Synchronous Machine Parameter Extraction FromSmall-Signal Injection Techniques. IEEE Transactions on Energy Conversion 24(1): 43-51 (2009).
  • [18] Hur K., Santoso S., Estimation of System Damping Parameters Using Analytic Wavelet Transforms, IEEE Transactions on Power Delivery 24(3): 1302-1309 (2009).
  • [19] Kaźmierkowski M.P., Tunia H., Automatic Control of Converter-Fed Drives. Elsevier, Amsterdam- London-New York-Tokyo (1994).
  • [20] Kim J., Kim S.W., Parameter Identification of Induction Motors Using Dynamic Encoding Algorithmfor Searches (DEAS). IEEE Transactions on Energy Conversion 20(1): 16-24 (2005).
  • [21] Kyriakides E., Heydt G.T., Vittal V., Online Parameter Estimation of Round Rotor SynchronousGenerators Including Magnetic Saturation, IEEE Trans. on Energy Conversion 20(3): 529-537 (2005).
  • [22] Laroche E., Boutayeb M., Identification of the Induction Motor in Sinusoidal Mode. IEEE Trans. on Energy Conv. 25(1): 11-19 (2010).
  • [23] Lee K., Blaabjerg F., Yoon T., Speed-Sensorless DTC-SVM for Matrix Converter Drives WithSimple Nonlinearity Compensation. IEEE Transactions on Industry Applications 43(6): 1639-1649 (2007).
  • [24] Lidenholm J., Lundin U., Estimation of Hydropower Generator Parameters Through Field Simulationsof Standard Tests. IEEE Transactions on Energy Conversion 25(4): 931-939 (2010).
  • [25] Mendrela E., Beniak R., Wróbel R., Influence of Stator Structure on Electromechanical Parametersof Torus-Type Brushless DC Motor. IEEE Transactions on Energy Conversion 18(2): 231-237 (2003).
  • [26] Mohan N., Undeland T., Robbins W., Power electronics: converters, Aplications and Design. John Wiley Sons, New York (1989).
  • [27] Narayanan M.D., Narayanan S., Padmanabhan Ch., Parameter Identification of Nonlinear SystemsUsing Chaotic Excitation. Journal of Computational and Nonlinear Dynamics 2: 225-231 (2007).
  • [28] Pedra J., Córcoles F., Estimation of Induction Motor Double-Cage Model Parameters From ManufacturerData. IEEE Transactions on Energy Conversion 19(2): 310-317 (2004).
  • [29] Ren L., Irwin G.W., Flynn D., Nonlinear Identification and Control of a Turbogenerator - An On-Line Scheduled Multiple Model/Controller Approach. IEEE Transactions on Energy Conversion 20(1): 237-245 (2005).
  • [30] Sarin H., Kokkolaras M., Hulbert G. et al., Comparing Time Histories for Validation of SimulationModels: Error Measures and Metrics. Journal of Dynamic Systems, Measurement, and Control 132: 061401-1-061401-10 (2010).
  • [31] Stigler S.M., Gaus and the invention of least squares. The Annals of Statistics 9(3): 465-474 (1981).
  • [32] Uciński D., Measurement Optimization for Parameter Estimation in Distributed Systems. Technical University Press, Zielona Góra (1999).
  • [33] Ukil A., Bloch R., Andenna A., Estimation of Induction Motor Operating Power Factor From MeasuredCurrent and Manufacturer Data. IEEE Transactions on Energy Conversion 26(2): 699-706 (2011).
  • [34] Walter E., Pronzato L., Identification of Parametric Models from Experimental Data. Paris-Milan- Barcelone, Springer Masson (1997).
  • [35] Wamkeue R., Aguglia D., Lakehal M., Viarouge P., Two-Step Method for Identification of NonlinearModel of Induction Machine. IEEE Transactions on Energy Conversion 22(4): 801-809 (2007).
  • [36] Yu X., Dunningan M.W., Williams B.W., Phase Voltage Estimation of a PWM VSI and its Applicationto Vector-Controlled Induction Machine Parameter Estimation. IEEE Transactions on Industrial Electronics 47(5): 1181-1185 (2000).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPS4-0003-0057
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