References
- 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
- 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
- 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
- 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.
- 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.
- 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
- 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
- Technology in Electrical Sciences (ICTES 2007), Chennai, Tamil Nadu, India, 20-22 December 2007, Dr. M.G.R. University, pp. 433-440.
- 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
- Matlab Simulink. (2018). Mathworks: Permanent Magnet Synchronous Machine. Available at: https://www.mathworks.com [Accessed Jan. 2018].
- Simon, D. (2006). Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches. USA: Wiley- Interscience. [ISBN: 978-0-471-70858-2].10.1002/0470045345
- 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.
- 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
- 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
- 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