Neural State Estimator for Complex Mechanical Part of Electrical Drive: Neural Network Size and Performance of State Estimation

Isermann, R. (1989). State controller and state observer. In: B.W. Dickinson, E.D. Sontag, eds., Digital Control Systems: Volume 1: Fundamentals, Deterministic Control. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 180-227.10.1007/978-3-642-86417-9_8Search in Google Scholar

Jobling, C. P., Grant, P. W., Barker, H. A. and Townsend, P. (1994). Object-oriented programming in control system design: a survey. Automatica, 30(8), pp. 1221-1261.10.1016/0005-1098(94)90106-6Search in Google Scholar

Kamiński, M. (2013). Estymacja zmiennych stanu układu dwumasowego za pomocą modeli neuronowych. Prace Naukowe Instytutu Maszyn, Napędów i Pomiarów Elektrycznych Politechniki Wrocławskiej, 69(33), pp. 222-238.Search in Google Scholar

Kazmierkowski, M. P. and Orlowska-Kowalska, T. (2002). NN state estimation and control in converter-fed induction motor drives, Ch. 2. In: Seppo J. Ovaska, Les M. Sztandera, eds. Soft Computing in Industrial Electronics. Heidelberg, Germany: Physica-Verlag, pp. 45-94.10.1007/978-3-7908-1783-6_2Search in Google Scholar

Kincaid, D. and Cheney, W. (2006). Arytmetyka Komputerowa. In: Stefan Paszkowski, ed., Analiza numeryczna, Warszawa: Wydawnictwo Naukowo- Techniczne, pp. 46-54.Search in Google Scholar

Łuczak, D. (2014). Mathematical model of multi-mass electric drive system with flexible connection. In: 2014 19th International Conference on Methods and Models in Automation and Robotics MMAR, Miedzyzdroje, Poland, 2-5 September 2014, IEEE, pp. 590-595.10.1109/MMAR.2014.6957420Search in Google Scholar

Łuczak, D. and Nowopolski, K. (2014). Identification of multi-mass mechanical systems in electrical drives. In: 2014 16th International Conference on Mechatronics - Mechatronika, Brno, Czech Republic, 3-5 December 2014, IEEE, pp. 275-282.10.1109/MECHATRONIKA.2014.7018271Search in Google Scholar

Łuczak, D. and Wójcik, A. (2017). Object-oriented DSP implementation of neural state estimator for electrical drive with elastic coupling. Poznan University of Technology Academic Journals: Electrical Engineering, 91, pp. 395-406.10.21008/j.1897-0737.2017.91.0036Search in Google Scholar

Orlowska-Kowalska, T. and Kaminski, M. (2008). Optimization of neural state estimators of the twomass system using OBD method. In: IEEE International Symposium on Industrial Electronics, Cambridge, UK, 30 June-2 July 2008, ISIE, pp. 461-466.10.1109/ISIE.2008.4677149Search in Google Scholar

Orlowska-Kowalska, T. and Kowalski, C. T. (1997). Neural network application for flux and speed estimation in the sensorless induction motor drive. In: Proceedings of the IEEE International Symposium on Industrial Electronics, vol. 3, Guimaraes, Portugal, 7-11 July 1997, Portugal: ISIE, pp. 1253-1258.10.1109/ISIE.1997.648923Search in Google Scholar

Orlowska-Kowalska, T. and Szabat, K. (2007a). Neural- Network Application for Mechanical Variables Estimation of a Two-Mass Drive System. IEEE Transactions on Industrial Electronics, 54(3), pp. 1352-1364.10.1109/TIE.2007.892637Search in Google Scholar

Orlowska-Kowalska, T. and Szabat, K. (2007b). Vibration Suppression in a Two-Mass Drive System Using PI Speed Controller and Additional Feedbacks -Comparative Study. IEEE Transactions on Industrial Electronics, 54(2,3), pp. 1193-1206.10.1109/TIE.2007.892608Search in Google Scholar

Reynaldi, A., Lukas, S. and Margaretha, H. (2012). Backpropagation and Levenberg-Marquardt algorithm for training finite element neural network. In: 2012 Sixth UKSim/AMSS European Symposium on Computer Modeling and Simulation, Valetta, Malta, 14-16 November 2012, EMS, pp. 89-94.10.1109/EMS.2012.56Search in Google Scholar

Rojas, R. (1996). Neural Networks - A Systematic Introduction, [Online]. Available at: http://page.mi.fu-berlin.de/rojas/neural/ [Accessed 19 Feb. 2016].Search in Google Scholar

Simoes, M. G. and Bose, B. K. (1995). Neural network based estimation of feedback signals for a vector controlled induction motor drive. IEEE Transactions on Industry Applications, 31(3), pp. 620-629.10.1109/28.382124Search in Google Scholar

Szabat, K. and Orlowska-Kowalska, T. (2008). Optimization of the two-mass drive dynamics using different compensation feedbacks. In: 11th International Conference on Optimization of Electrical and Electronic Equipment, OPTIM, Brasov, Romania, 22-24 May 2008, IEEE, pp. 19-24.10.1109/OPTIM.2008.4602452Search in Google Scholar

Yadaiah, N. and Sowmya, G. (2006). Neural network based state estimation of dynamical systems. In: International Joint Conference on Neural Networks, IJCNN, Vancouver, BC, Canada, 16-21 July 2006, IEEE, pp. 1042-1049.10.1109/IJCNN.2006.246803Search in Google Scholar

Yu, H. and Wilamowski, B. M. (2011). Levenberg- Marquardt training. In: Bogdan M. Wilamowski, J. David Irwin, eds., Industrial Electronics Handbook - vol. 5 Intelligent Systems, 2nd ed. pp. 12-1 to 12-15.10.1201/9781315218427-12Search in Google Scholar

Zawirski, K., Deskur, J. and Kaczmarek, T. (2012). Automatyka Napędu Elektrycznego. Poznań: Wydawnictwo Politechniki Poznańskiej, pp. 76-100. 216.Search in Google Scholar