[Aishwarya, V. and Jayanand, B. (2016). Estimation and control of sensorless brushless DC motor drive using extended Kalman filter. In: IEEE International Conference on Circuit, Power and Computing Technologies (ICCPCT), India.10.1109/ICCPCT.2016.7530343]Search in Google Scholar
[Auger, F., Hilairet, M., Guerrero, J. M., Monmasson, E., Orlowska-Kowalska, T. and Katsura, S. (2013). Industry Applications of the Kalman Filter: A Review. IEEE Transactions on Industrial Electronics, 60, pp. 5458-5471.10.1109/TIE.2012.2236994]Search in Google Scholar
[Dhaouadi, R., Mohan, N. and Norum, L. (1991). Design and Implementation of an Extended Kalman Filter for the State Estimation of a Permanent Magnet Synchronous Motor. IEEE Transactions on Power Electronics, 6(3), pp. 491-497.10.1109/63.85891]Search in Google Scholar
[Eissa, M. A., Ahmed, M. S., Darwish, R. R. and Bassiuny, A. M. (2015). Improved fuzzy Luenberger observerbased fault detection for BLDC motor. In: 2015 Tenth International Conference on Computer Engineering & Systems (ICCES), Cairo, IEEE, pp. 167-174. doi: 10.1109/ICCES.2015.7393039.]Search in Google Scholar
[El Mekki, A. and Ben Saad, K. (2016). A BLDC fault diagnosis approach based on a super-twisting sliding mode observer. In: 2016 4th International Conference on Control Engineering & Information Technology (CEIT), Hammamet, IEEE, pp. 1-5. doi: 10.1109/CEIT.2016.7929039.]Search in Google Scholar
[Jethwani, A., Aseri, D., Singh, T. S. and Jain, A. K. (2016). A simpler approach to the modelling of permanent magnet brushless DC machine in MATLAB environment. In: 6th IEEE International Conference on Power Systems (ICPS), India.10.1109/ICPES.2016.7584071]Search in Google Scholar
[Lenine, D., Rami Reddy, B. and Vijay Kumar, S. (2007). Estimation of speed and rotor position of BLDC motor using extended Kalman filter. In: IET-UK International Conference on Information and Communication10.1049/ic:20070652]Search in Google Scholar
[Technology in Electrical Sciences (ICTES 2007), Chennai, Tamil Nadu, India, 20-22 December 2007, Dr. M.G.R. University, pp. 433-440.]Search in Google Scholar
[Ryba, Ł., Voda A., Besancon G. (2014). An LQG/ LTR Approach Towards Piezoactuator Vibration Reduction With Observer-Based Hysteresis Compensation. IFAC Proceedings Volumes, 47(3), pp. 5623-5628.10.3182/20140824-6-ZA-1003.01894]Search in Google Scholar
[Matlab Simulink. (2018). Mathworks: Permanent Magnet Synchronous Machine. Available at: https://www.mathworks.com [Accessed Jan. 2018].]Search in Google Scholar
[Simon, D. (2006). Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches. USA: Wiley- Interscience. [ISBN: 978-0-471-70858-2].10.1002/0470045345]Search in Google Scholar
[Šlapák, V., Kyslan, K., Fedák, V. and Ďurovský, F. (2016). Finite Control Set Model Predictive Speed Control of a DC Motor. Mathematical Problems in Engineering, 2016, p. 10 (9571972). doi: 10.1155/2016/9571972.]Search in Google Scholar
[Terzic, B. and Jadric, M. (2001). Design and Implementation of the Extended Kalman Filter for the Speed and Rotor Position Estimation of Brushless DC Motor. IEEE Transactions on Industrial Electronics, 48(6), pp. 1065-1073.10.1109/41.969385]Search in Google Scholar
[Vinida, K. and Chacko, M. (2016). An optimized H infinity strategy for robust control of sensorless BLDC propulsion motor in submarines for improved maneuverability. In: 2016 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), Trivandrum, IEE, pp. 1-6.10.1109/PEDES.2016.7914280]Search in Google Scholar
[Zabalawi, S. A. and Nasiri, A. (2007). State space modeling and simulation of sensorless control of brushless DC motors using instantaneous rotor position tracking. In: IEEE Vehicle Power and Propulsion Conference (VPPC), Arlington, TX, USA.10.1109/VPPC.2007.4544104]Search in Google Scholar