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Multi-layer observer as new structure for state estimation in linear systems

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Języki publikacji
EN
Abstrakty
EN
A new structure to design observers for linear systems is presented in this work. The key step is the construction of two layers where the first consists of multiple observers and the second connects them providing the weighted estimation state. The main difficulty is to find a new feedback which is responsible for control weights. To define observation law, we rely on multi observers from the first layer. The proposed structure significantly improves the transient characteristics of the observation process, which is shown in illustrative examples.
Rocznik
Strony
507--521
Opis fizyczny
Bibliogr. 14 poz., rys., tab., wz.
Twórcy
autor
  • Faculty of Computing, Poznan University of Technology Piotrowo 3a, 61-138 Poznań, Poland
autor
  • Faculty of Computing, Poznan University of Technology Piotrowo 3a, 61-138 Poznań, Poland
  • Faculty of Computing, Poznan University of Technology Piotrowo 3a, 61-138 Poznań, Poland
autor
  • Faculty of Computing, Poznan University of Technology Piotrowo 3a, 61-138 Poznań, Poland
Bibliografia
  • [1] Astrom K.J., Wittenmark B., Adaptive Control, Prentice Hall, New Jersey (1994).
  • [2] Bejarano F.J., Pisano A., Switched observers for switched linear systems with unknown inputs, IEEE Trans. on Automatic Control, vol. 56, no. 3, pp. 681-686 (2011).
  • [3] Bernat J., Stępień S., Multi-modelling as new estimation schema for high-gain observers, International Journal of Control, vol. 88, no. 6, pp. 1209-1222 (2015).
  • [4] Bernat J., Kolota J., Sensorless position estimator applied to nonlinear IPMC model, Smart Materials and Structures, vol. 25, no. 11 (2016).
  • [5] Bowes S.R., Sevinc A., Holliday D., New natural observer applied to speed-sensorless dc servo and induction motor, IEEE Transactions On Industrial Electronics, vol. 51, no. 5, pp. 1025-1032 (2004).
  • [6] Laidi K., Benmansour K., Ferdjouni A., Bouchhida O., Real-time implementation of an interconnected observer design for p-cells chopper, Archives of Electrical Engineering, vol. 59, no. 1-2, pp. 5-20 (2010).
  • [7] Luenberger D.G., An introduction to observers, IEEE Trans. on Automatic Control, vol. 16, no. 6, pp. 596-602 (1971).
  • [8] Narendra K.S., Han Z., New concepts in adaptive control using multiple models, IEEE Transactions on Automatic Control, vol. 57, no. 1, pp. 78-88 (2012).
  • [9] O’Reilly J., Observer for linear systems, Academic Press, London (1983).
  • [10] Park J.K., Shin D.R., Chung T.M., Dynamic observers for linear time-invariant systems, Automatica, vol. 38, pp. 1083-1087 (2002).
  • [11] Stocks M., Medvedev A., Linear-quadratic optimal time-varying observers with time-varying guaranteed convergence rate, IET Control Theory Appl., vol. 3, no. 2, pp. 181-188 (2009).
  • [12] Urbański K., Sensorless control of SRM at medium speed range, Archives of Electrical Engineering, vol. 60, no. 2, pp. 179-185 (2011).
  • [13] Wanga Z.B., Huang H.U., Robust h1 observer design of linear time-delay systems with parametric uncertainty, System and control letters, vol. 42, no. 1, pp. 303-312 (2001).
  • [14] Yao Y., Radun A.V., Proportional integral observer design for linear systems with time delay, IET Control Theory Appl. vol. 1, no. 4, pp. 887-892 (2007).
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3b5fc3c8-dbb6-4884-a414-7cc4e254cabf
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