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Parameter selection of an adaptive PI state observer for an induction motor

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper discusses problems connected with the parameters selection of the proportional-integral observer, designed for reconstruction of magnetic fluxes and angular speed of an induction motor. The selection is performed in several stages that are focused on different criteria. The first stage consists in selecting observer’s gains and provides desired dynamical properties, taking into consideration immunity to disturbances and parameter variations of observed system. The second stage prevents an observer from DC-offset cumulation and instability. The last stage consists in setting the parameters of a speed adaptation mechanism. The impact of different settings on the properties of an observer is illustrated with experimental results, obtained in the multiscalar control system of an induction motor.
Rocznik
Strony
599--603
Opis fizyczny
Bibliogr. 18 poz., wykr.
Twórcy
autor
  • Institute of Electrical Engineering and Informatics, Silesian University of Technology, 10a Akademicka St., 44-100 Gliwice, Poland
autor
  • Department of Automatics of Electric Drives, Gdańsk University of Technology, 7 Sobieskiego St., 80-216 Gdańsk, Poland
autor
  • Institute of Electrical Engineering and Informatics, Silesian University of Technology, 10a Akademicka St., 44-100 Gliwice, Poland
autor
  • Institute of Electrical Engineering and Informatics, Silesian University of Technology, 10a Akademicka St., 44-100 Gliwice, Poland
Bibliografia
  • [1] Z. Gao, T.G. Habetler, R.G. Harley, and R.S. Colby, “A sensorless adaptive stator winding temperature estimator for mainsfed induction machines with continuous-operation periodic duty cycles”, IEEE Trans. on Ind. Appl. 5 (44), 1533-1542 (2008).
  • [2] Z. Gao, “Sensorless stator winding temperature estimation for induction machines”, PhD Thesis, Georgia Institute of Technology, Georgia, 2006.
  • [3] D.R. Espinoza-Trejo, D.U. Campos-Delgado, and F.J. Martinez- Lopez, “Variable speed evaluation of a model-based fault diagnosis scheme for induction motor drives”, IEEE Sym. ISIE, 2632-2637 (2010).
  • [4] H.S. Kim, C.H. Lee, H.U. Ahn, and S.B. Kim, “Sensorless speed control of induction motor using observation technique”, J. Korean Society of Marine Eng. 1 (23), 96-102 (1999).
  • [5] B. Gaddouna, M. Ouladsine, A. Rachid and A. El Hajjaji, “State estimation of an induction machine using a reduced order PI observer”, IEEE Conf. CESA, 1022-1026 (1998).
  • [6] K.K. Busawon and P. Kabore, “On the design of integral and proportional integral observers”, Proc. American Control Conf. 1, 3725-3729 (2000).
  • [7] K.K. Busawon and P. Kabore, “Disturbance attenuation using proportional integral observers”, Int. J. Control 6 (74), 618-627 (2001).
  • [8] L. Bodizs, B. Srinivasan, and D. Bonvin, “On the design of integral observers for unbiased output estimation in the presence of uncertainty”, J. Process Control 21, 379-390 (2011).
  • [9] T. Białoń, A. Lewicki, M. Pasko, and R. Niestroj, “PI observer stability and application in an induction motor control system”, WZEE Conf. 1-7, CD-ROM (2012), (in Polish).
  • [10] J. Hu and B. Wu, “New integration algorithms for estimating motor flux over a wide speed range”, IEEE Trans. on PowerElectronics 5 (13), 969-977 (1998).
  • [11] B. Adkins and R.G. Harley, The General Theory of AlternatingCurrent Mechines, Chapman Hall, London, 1975.
  • [12] H. Kubota, K. Matsuse, and T. Nakano, “DSP-based speed adaptive flux observer of induction motor”, IEEE Trans. onInd. Appl. 2 (29), 344-348 (1993).
  • [13] W. Jing-Xin, J. Jian-Guo, “Combining the principles of variable structure, direct torque control, and space vector modulation for induction motor fed by matrix converter”, Bull. Pol. Ac.: Tech. 58 (4), 657-663 (2010).
  • [14] O.I. Elgerd, Electric Energy Systems Theory, An Introduction, McGraw-Hill, London, 1983.
  • [15] T. Białoń, “Application of the Luenberger observers to reconstruction of induction motor state variables”, PhD Thesis, Silesian University of Technology, Katowice, 2010, (in Polish).
  • [16] T. Białoń, A. Lewicki, R. Niestroj and M. Pasko, “Comparison of two methods for parameters selection of the proportional observer of induction motor state variables”, Low Voltage ElectricalMachines Conf. 1, 1-4 (2011).
  • [17] Z. Krzemiński, A. Lewicki and M. Włas, “Properties of control systems based on nonlinear models of the induction motor”, EPNC 1, 24-26 (2004).
  • [18] Z. Krzemiński, “Nonlinear control of induction motor”, Proc.10th IFAC World Congress 1, 349-354 (2001).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3eb51189-a041-460d-8628-0379a05508f7
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