Dynamic Performance of Estimator-based Speed Sensorless Control of Induction Machines Using Extended and Unscented Kalman Filters

Akin, B., Orguner, U., Ersak, A. and Ehsani, M. (2006). Simple Derivative-Free Nonlinear State Observer for Sensorless AC Drives. IEEE/ASME Transactions on Mechatronics, 11(5), pp. 634-643. Amezquita-Brooks, L., Liceaga-Castro, E., Liceaga-10.1109/TMECH.2006.882996Search in Google Scholar

Castro, J. and Ugalde-Loo, C. E. (2015). Flux- Torque Cross-Coupling Analysis of FOC Schemes: Novel Perturbation Rejection Characteristics. ISA Transactions, 58, pp. 446-461.10.1016/j.isatra.2015.05.00426187346Search in Google Scholar

Auger, F., Hilairet, M., Guerrero, J. M., Monmasson, E., Orłowska-Kowalska, T. and Katsura, S. (2013). Industrial Applications of the Kalman Filter: A Review. IEEE Transactions on Industrial Electronics, 60(12), pp. 5458-5471.10.1109/TIE.2012.2236994Search in Google Scholar

Biswas, S. K., Qiao, L. and Dempster, A. G. (2017). A Novel A Priori State Computation Strategy for the Unscented Kalman Filter to Improve Computational Efficiency. IEEE Transactions on Automatic Control, 64(4), pp. 1852-1864.10.1109/TAC.2016.2599291Search in Google Scholar

Casadei, D., Profumo, F., Serra, G. and Tani, A. (2002). FOC and DTC: Two Viable Schemes for Induction Motors Torque Control. IEEE Transactions on Power Electronics, 17(5), pp. 779-787.10.1109/TPEL.2002.802183Search in Google Scholar

De Pelegrin, J., Torrico, C. R. C. and Carati, E. G. (2016). A Model-Based Suboptimal Control to Improve Induction Motor Efficiency. Journal of Control, Automation and Electrical Systems, 27(1), pp. 69-81.10.1007/s40313-015-0216-0Search in Google Scholar

Eisenberg, B. and Sullivan, R. (2008). Why is the Sum of Independent Normal Random Variables Normal? Mathematics Magazine, 81(5), pp. 362-366.10.1080/0025570X.2008.11953577Search in Google Scholar

Fodor, D. and Tóth, R. (2004). Speed sensorless linear parameter variant H∞ control of the induction motor. In: 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601), Vol. 4. Nassau (Bahamas): IEEE, pp. 4435-4440.10.1109/CDC.2004.1429449Search in Google Scholar

Grafarend, E. W. (2006). Linear and Nonlinear Models: Fixed Effects, Random Effects, and Mixed Models. Berlin/New York: Walter de Gruyter.Search in Google Scholar

Holtz, J. (2006). Sensorless Control of Induction Machines - With or Without Signal Injection. IEEE Transactions on Industrial Electronics, 53(1), pp. 7-30.10.1109/TIE.2005.862324Search in Google Scholar

Horváth, K. and Kuslits, M. (2017). Speed sensorless field oriented control of induction machines using unscented Kalman filter. In: 2017 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM) 2017 International Aegean Conference on Electrical Machines and Power Electronics (ACEMP). Brasov: IEEE, pp. 523-528.10.1109/OPTIM.2017.7975021Search in Google Scholar

Jafarzadeh, S., Lascu, C. and Fadali, M. S. (2013). Square Root Unscented Kalman Filters for State Estimation of Induction Motor Drives. IEEE Transactions on Industry Applications, 49(1), pp. 92-99.10.1109/TIA.2012.2229251Search in Google Scholar

Jafarzadeh, S., Lascu, C. and Fadali, M. S. (2012). State Estimation of Induction Motor Drives Using the Unscented Kalman filter. IEEE Transactions on Industrial Electronics, 59(11), pp. 4207-4216.10.1109/TIE.2011.2174533Search in Google Scholar

Julier, S. J. and Uhlmann, J. K. (1997). A New Extension of the Kalman Filter to Nonlinear Systems. In: Proceedings of AeroSense: The 11th International Symposium on Aerospace/Defense Sensing, Simulations and Controls, Orlando.10.1117/12.280797Search in Google Scholar

Julier, S. J. and Uhlmann, J. K. (2004). Unscented Filtering and Nonlinear Estimation. Proceedings of the IEEE, 92(3), pp. 401-422.10.1109/JPROC.2003.823141Search in Google Scholar

Julier, S. J., Uhlmann, J. K. and Durrant-Whyte, H. F. (2000). A New Method for the Nonlinear Transformation of Means and Covariances in Filters and Estimators. IEEE Transactions on Automatic Control, 45(3), pp. 477-482.10.1109/9.847726Search in Google Scholar

Kalman, R. E. (1960). A New Approach to Linear Filtering and Prediction Problems. Journal of Basic Engineering, 82(1), pp. 35-45.10.1115/1.3662552Search in Google Scholar

Kim, Y.-R., Sul, S.-K. and Park, M.-H. (1994). Speed Sensorless Vector Control of Induction Motor Using Extended Kalman Filter. IEEE Transactions on Industry Applications, 30(5), pp. 1125-1133.10.1109/28.315233Search in Google Scholar

Kumar, S., Prakash, J. and Kanagasabapathy, P. (2011). A Critical Evaluation and Experimental Verification of Extended Kalman Filter, Unscented Kalman Filter and Neural State Filter for State Estimation of Three Phase Induction Motor. Applied Soft Computing, 11(3), pp. 3199-3208.10.1016/j.asoc.2010.12.022Search in Google Scholar

Lalley, S. (2001). Stochastic Calculus and Finance I, Lecture 5: Brownian Motion. Lecture Notes, The University of Chicago.Search in Google Scholar

Leite, A. V., Araujo, R. E. and Freitas, D. (2004). Full and reduced order extended Kalman filter for speed estimation in induction motor drives: A comparative study. In: 2004 IEEE 35th Annual Power Electronics Specialists Conference (IEEE Cat. No.04CH37551), Vol. 3. Aachen (Germany): IEEE, pp. 2293-2299.10.1109/PESC.2004.1355479Search in Google Scholar

Lešić, V., Vašak, M., Stojičić, G., Perić, N., Joksimović, G. and Wolbank, T. M. (2012). State and parameter estimation for field-oriented control of induction machine based on unscented Kalman filter. In: International Symposium on Power Electronics Power Electronics, Electrical Drives, Automation and Motion. Sorrento: IEEE, pp. 409-414.10.1109/SPEEDAM.2012.6264421Search in Google Scholar

Liu, K.-Z., Yokoo, M., Kondo, K. and Zanma, T. (2015). New Adaptive Vector Control Methods for Induction Motors with Simpler Structure and Better Performance. Control Theory and Technology, 13(2), pp. 173-183.10.1007/s11768-015-4153-zSearch in Google Scholar

Loeve, M. (2012). Probability Theory I. Graduate Texts in Mathematics. New York: Springer-Verlag.Search in Google Scholar

Orłowska-Kowalska, T. and Dybkowski, M. (2016). Industrial Drive Systems. Current State and Development Trends. Power Electronics and Drives, 1(1), pp. 5-25.Search in Google Scholar

Rigatos, G. and Siano, P. (2012). Sensorless nonlinear control of induction motors using unscented Kalman filtering. In: IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society. Montreal: IEEE, pp. 4654-4659.10.1109/IECON.2012.6389496Search in Google Scholar

Šlapák, V., Kyslan, K. and Ďurovský, F. (2016a). Position Controller for PMSM Based on Finite Control Set Model Predictive Control. Elektronika ir Elektrotechnika, 22(6), pp. 17-21.10.5755/j01.eie.22.6.17217Search in Google Scholar

Šlapák, V., Kyslan, K., Lacko, M., Fedák, V. and Ďurovský, F. (2016b). Finite Control Set Model Predictive Speed Control of a DC Motor. Mathematical Problems in Engineering, pp. 1-10.10.1155/2016/9571972Search in Google Scholar

Vantsevich, V. V. and Blundell, M. V. (2015). Advanced Autonomous Vehicle Design for Severe Environments. Amsterdam: IOS Press.Search in Google Scholar

Yildiz, R., Barut, M. and Zerdali, E. (2016). Speedsensorless induction motor drive with unscented Kalman filter including the estimations of load torque and rotor resistance. In: IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society. Florence: IEEE, pp. 2946-2950.10.1109/IECON.2016.7793867Search in Google Scholar

Yildiz, R., Barut, M., Zerdali, E., Inan, R. and Demir, R. (2017). Load torque and stator resistance estimations with unscented Kalman filter for speed-sensorless control of induction motors. In: 2017 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM) 2017 International Aegean Conference on Electrical Machines and Power Electronics (ACEMP). Brasov: IEEE, pp. 456-461.10.1109/OPTIM.2017.7975011Search in Google Scholar

Zerdali, E. and Barut, M. (2017). The Comparisons of Optimized Extended Kalman Filters for Speed- Sensorless Control of Induction Motors. IEEE Transactions on Industrial Electronics, 64(6), pp. 4340-4351.10.1109/TIE.2017.2674579Search in Google Scholar