Particle Filter Approach for Permanent Magnet Synchronous Motor State Estimation

• Autorzy: Janiszewski D.

Identyfikatory

DOI

10.12915/pe.2014.06.11

Warianty tytułu

PL

Wykorzystanie techniki filtru cza˛steczkowego do estymacji stanu silnika synchronicznego o magnesach trwałych

• Języki publikacji: EN

Abstrakty

EN

The paper describes an observer for a permanent magnet synchronous motor based on Particle Filter techniques. Based on introduced theory an observer of shaft position, speed and load torque is proposed. Preliminary research show good properties of proposed estimation structure.

PL

W artykule przedstawiono obserwację zmiennych stanu silnika synchronicznego o magnesach trwałych przy wykorzystaniu techniki filtracji cząsteczek. W oparciu o przedstawioną teorię zaproponowano obserwator położenia wału, prędkości i momentu obciążenia części mechanicznej napędu. Początkowe badania symulacyjne pokazują dobre właściwości zaproponowanej struktury estymacji.

Słowa kluczowe

EN

permanent magnet synchronous motor; sensorless control; observers; particle filter

PL

silnik synchroniczny o magnesach trwałych; sterowanie bezczujnikowe; obserwatory; filtr cząsteczkowy

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2014
• Tom: R. 90, nr 6
• Strony: 56--60
• Opis fizyczny: Bibliogr. 24 poz., schem., tab., wykr.

Twórcy

autor

Janiszewski D.

• Poznan University of Technology, Institut of Control and Information Engineering, 3a Piotrowo St., PL60965 Poznan

Bibliografia

• [1] Kalman R.E. New Approach to Linear Filtering and Prediction Problems Transactions of the ASME-Journal of Basic Engineering, 1960, pp. 374-382.
• [2] Julier S. J., Uhlmann J. K. Unscented filtering and nonlinear estimation Proceedings of the IEEE, 2004, 92, pp. 401- 422,
• [3] Welch G., Bishop G. An Introduction to the Kalman Filter SIGGRAPH 2001; Proceedings on, Computer Graphics, Annual Conference on Computer Graphics and Interactive Techniques, ACM Press, Addison-Wesley, 2001, 8, 3-42,
• [4] Zawirski K., Janiszewski D. Muszynski R. Unscented and extended Kalman filters study for sensorless control of PM synchronous motors with load torque estimation Bulletin of the Polish Academy of Sciences. Technical Sciences, 2013, 61(4), pp. 793-801.
• [5] Van der Merwe R., Wan, E. The square-root unscented Kalman filter for state and parameter-estimation Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP’01). 2001 IEEE International Conference on, 2001, 6, pp.3461- 3464,
• [6] Janiszewski, D. Load torque estimation in sensorless PMSM drive using Unscented Kalmana Filter Proc. Industrial Electronics (ISIE), 2011 IEEE International Symposium on, 2011, pp.643 -648,
• [7] Janiszewski D. Extended Kalman Filter Based Speed Sensorless PMSM Control with Load Reconstruction Proc. IECON 2006 - 32nd Annual Conf. IEEE Industrial Electronics, 2006, 1465-1468,
• [8] Doucet A., De Freitas N., Gordon N. (Eds.) Sequential Monte Carlo methods in practice Springer, 2001,
• [9] van der Merwe R., de Freitas N., Doucet A., Wan, E. The Unscented Particle Filter Advances in Neural Information Processing Systems 13, 2001,
• [10] Brock S., Zawirski K. New approaches to selected problems of precise speed and position control of drives In Proc. IECON 2012 - 38th Annual Conf. IEEE Industrial Electronics Society, 2012, pp. 6291-6296.
• [11] Vas P. Sensorless Vector and Direct Torque Control Oxford University Press, Oxford – New York – Tokyo 1998,
• [12] Pillay P., Krishnan R. Modeling, simulation, and analysis of permanent-magnet motor drives. I. The permanent-magnet synchronous motor drive Industry Applications, IEEE Transactions on, 1989, 25, pp. 265-273,
• [13] Schroedl, M. Operation of the permanent magnet synchronous machine without a mechanical sensor Power Electronics and Variable-Speed Drives, 1991., Fourth International Conference on, 1990, pp. 51-56,
• [14] Ko J. -S., Han B.-M. Precision Position Control of PMSM Using Neural Network Disturbance Observer on Forced Nominal Plant Mechatronics, 2006 IEEE International Conference on, 2006, pp. 316-320,
• [15] Schrodl M., Simetzberger C. Sensorless control of PM synchronous motors using a predictive current controller with integrated INFORM and EMF evaluation Proc. on Power Electronics and Motion Control Conference, 2008. EPE-PEMC 2008. 13th, 2008, pp. 2275-2282,
• [16] Peroutka, Z. Development of Sensorless PMSM Drives: Application of Extended Kalman Filter Industrial Electronics, 2005, Proceedings of the IEEE International Symposium on, June 20- 23, 2005, 4, pp. 1647-1652,
• [17] Guzinski J., Abu-Rub H., Diguet M., Krzeminski Z., Lewicki A. Speed and Load Torque Observer Application in High-Speed Train Electric Drive Industrial Electronics, IEEE Transactions on, 2010, 57, pp.565 -574,
• [18] Comanescu, M An Induction-Motor Speed Estimator Based on Integral Sliding-Mode Current Control Industrial Electronics, IEEE Transactions on, 2009, 56, pp. 3414-3423,
• [19] Janiszewski D. Extended Kalman Filter Based Speed Sensorless PMSM Control with Load Reconstruction The 32nd Annual Conference of the IEEE Industrial Electronics Society (IECON06), November 7-10 2006, Paris, France, pp. 1465-1468.
• [20] Szabat K., Orlowska-Kowalska T. Application of the Kalman filters to the high performance drive system with elastic coupling Industrial Electronics, IEEE Transactions on, 59(11) 2012, pp. 4226-4235,
• [21] Chib S., Greenberg E. Understanding the Metropolis- Hastings Algorithm The American Statistician, 1995, 49, pp. 327-335,
• [22] Arulampalam M., Maskell S., Gordon N., Clapp T. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking Signal Processing, IEEE Transactions on, 2002, 50, pp. 174-188,
• [23] Gordon N., Salmond D., Smith, A. Novel approach to nonlinear/non-Gaussian Bayesian state estimation Radar and Signal Processing, IEE Proceedings, 1993, 140, pp. 107-113,
• [24] Douc, R., Cappe O. Comparison of resampling schemes for particle filtering Image and Signal Processing and Analysis, 2005. ISPA 2005. Proceedings of the 4th International Symposium on, 2005, pp. 64-69,