Performance evaluation of nonlinear Kalman filtering techniques in low speed brushless DC motors driven sensor-less positioning systems

Author:

Mazaheri Ardeshir,Radan Ahmad

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Reference23 articles.

1. Aksoy, S., Mühürcü, A., & Kızmaz, H., (2010). State and parameter estimation in induction motor using the extended Kalman filtering algorithm. In: 2010 Proceedings of the international symposium on modern electric power systems (MEPS) (pp. 1–5). IEEE, Wrocław, Poland.

2. Cubature Kalman filters;Arasaratnam;IEEE Transactions on Automatic Control,2009

3. A novel starting method for bldc motors without the position sensors;Asaei;Energy Conversion and Management,2009

4. A comparative study and review of different Kalman filters by applying an enhanced validation method;Campestrini;Journal of Energy Storage,2016

5. Ejlali, A., & Soleimani, J. (2012). Sensorless vector control of 3-phase bldc motor using a novel extended Kalman. In: 2012 International conference on advances in power conversion and energy technologies (APCET) (pp. 1–6). IEEE, Wrocław, Poland.

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