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Speed observers based on extended models of induction motor

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Warianty tytułu
PL
Nowa struktura obserwatora prędkości oparta na rozszerzonym modelu maszyny indukcyjnej
Języki publikacji
EN
Abstrakty
EN
A new structure of the speed observer is proposed based on extended model of the induction machine with gain coefficients depending on stator frequency. The new structure was derived from the previous one by analysis of dependencies appearing in differential equations. Explanation of observer stability is presented and sensitivity to estimation of machine parameters are analyzed. Properties of the proposed observer are presented using simulations of full control system.
PL
Zaproponowano nową strukturę obserwatora prędkości opartą na rozszerzonym modelu maszyny indukcyjnej ze współczynnikami zależącymi od częstotliwości strumienia stojana. Nowa struktura została określona na podstawie poprzedniej na drodze analizy zależności występujących w równaniach różniczkowych. Zaprezentowano wyjaśnienie stabilności obserwatora oraz przeanalizowano wrażliwość na estymację parametrów maszyny. Właściwości zaproponowanego obserwatora przedstawiono za pomocą symulacji pełnego układu regulacji.
Rocznik
Strony
141--147
Opis fizyczny
Bibliogr. 24 poz., rys., schem.
Twórcy
Bibliografia
  • [1] Krzeminski Z., Nonlinear control of induction motor, Proceedings of the 10th IFAC World Congress, Munich, (1987), 349-354
  • [2] Krzemiński Z., Nonlinear feedback and control strategy of the induction motor, Proceedings of the IFAC Nonlinear Control System Design Symposium, Bordeaux, France, (1992)
  • [3] Krzemiński Z., Lewicki A., Włas M., Properties of sensorless control system based on multiscalar models of the induction motor, Special Issue of COMPEL “Selected Papers from the 18th Symposium on Electromagnetic Phenomena in Nonlinear Circuits”. COMPEL vol. 25, (2005), no 1, 195 – 206.
  • [4] Kim G. S., Ha I. J., and Ko M. S., Control of induction motors for both high dynamics performance and high-power efficiency, IEEE Trans. on Industrial Electronics, vol. 39, (1992).
  • [5] Bellini A., An adaptive control for induction motor drives based on a fully linearized model, 5th European Conference on Power Electronics and Applications, Brighton, (1993).
  • [6] Luckjiff G., Wallace I., Divan D., Feedback Linearization of Current Regulated Induction Motors. Power Electronics Specialists Conference, 2001, PESC, 2001 IEEE 32nd Annual Vol. 2, (2001), 321 – 326.
  • [7] Marino R., Peresada S., Valigi P., Adaptive input-output linearizing control of induction motors, IEEE Trans. on Automatic Control, vol. 38, (1993).
  • [8] Chung-Hyuk Yim, Gyu-Sik Kim, Chang-Hwan Kim, Decoupling control of induction motors with motor parameter identification, Industry Application Conference, Thirty-First IAS Annual Meeting, IAS ’96, Conference Record of the (1996) IEEE. Vol 1. 221 –228.
  • [9] Pavlov A., Zaremba A., Direct Torque and Flux Regulation in Sensorless Control of an Induction Motor, Proceedings of the American Control Conference, Arlington, VA June, 25-27, (2001).
  • [10] Ojo O. and Dong G., Efficiency optimizing control of induction motor using natural variables, Applied Powert Electronics Conf. And Exposition, 2004, APEC ’04, Nineteenth Annual IEEE Vol. 3, (2004), 1622 – 1627
  • [11] Luenberger D. G., An Introduction to Observers, IEEE Trans. on Automatic Control, vol. 16, (1971), 596-602.
  • [12] Harnefors L., Hinkkanen M., Complete Stability of Reduced-Order and Full-Order Observers for Sensorless IM Drives, IEEE Trans. on Industrial Electronics, Vol. 55, (2008), 1319–1329.
  • [13] Cirrincione M., Pucci M., Cirrincione G., Sensorless Control of Induction Machines by a New Neural Algorithm: The TLS EXIN Neuron, IEEE Trans. on Industrial Electronics, Vol. 54, (2007), 127–140.
  • [14] Cirrincione M., Pucci M., Cirrincione G., Capolino G-A., Sensorless Control of Induction Motors by Reduced Order Observer With MCA EXIN + Based Adaptive Speed Estimation, IEEE Trans. on Industrial Electronics, Vol. 54, (2007), 50-166.
  • [15] Lee K-B., Blaabjerg F., An Improved DTC-SVM Method for Sensorless Matrix Converter Drives Using an Overmodulation Strategy and a Simple Nonlinearity Compensation, IEEE Trans. on Industrial Electronics, Vol. 54, (2007), 3155-3165.
  • [16] Castillo-Toledo B, Gennaro S. D., Loukianov A. G., Rivera J., Hybrid Control of Induction Motors via Sampled Closed Representations, IEEE Trans. on Industrial Electronics, Vol. 55, (2008), 3758-3771.
  • [17] Traoré D., Plestan F., Glumineau A., de Leon J., Sensorless Induction Motor: High-Order Sliding-Mode Controller and Adaptive Interconnected Observer, IEEE Trans. on Industrial Electronics, Vol. 55, (2008), 3818-3827.
  • [18] Lee K-B., Blaabjerg F., Sensorless DTC-SVM for Induction Motor Driven by a Matrix Converter Using a Parameter Estimation Strategy, IEEE Trans. on Industrial Electronics, Vol. 55, (2008), 512-521.
  • [19] Krzemiński Z., A new speed observer for control system of induction motor, Proc. of IEEE Int. Conf. on Power Electronics and Drive Systems, PESC’99, Hong Kong, (1999), 555 – 560.
  • [20] Krzemiński Z., Estimation of rotor speed for nonlinear control of the induction motor, Proc. on Int. Conf. EPE-PEMC’2002, Cavtat & Dubrownik, (2002).
  • [21] Krzemiński Z., Observer of induction motor speed based on exact disturbance model, Proc. on Int. Conf. EPE-PEMC’2008, Poznan, 2008.
  • [22] Wlas M., Krzeminski Z., Guzinski J., Abu-Rub H., Toliyat H.A., Artificial Neural Network Based Sensorless Nonlinear Control of Induction Motors, IEEE Trans. on Energy Convertion, Vol. 20, (2005), no 3, 520 – 528.
  • [23] Adamowicz M., Krzemiński Z., Novel Adaptive Flux Observer for Wide Speed Range Sensorless Control of Induction Motor. The 12 European Conference on Power Electronics and Applications, Aalborg, Denmark, September 2-5, (2007).
  • [24] Adamowicz M., Control system for the induction motor with with reduced flux in the air gap. Doctoral thesis, Gdansk, (2008), (in polish)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPOM-0017-0029
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