González Cagigal, Miguel ÁngelMartín, CristinaBermúdez Guzmán, MarioCruz-Romero, Pedro Luis2025-03-212025-03-212025-01-21González Cagigal, M.Á., Martín, C., Bermúdez Guzmán, M. y Cruz-Romero, P.L. (2025). Comparison of no linear Kalman filtering schemes for sensorless control of permanent magnet-assisted synchronous reluctance machines. International Journal of Electrical Power and Energy Systems, 165, 110487. https://doi.org/10.1016/j.ijepes.2025.110487.1879-3517https://hdl.handle.net/11441/170683Permanent magnet-assisted synchronous reluctance machines (PMA-SynRMs) are gaining attention thanks to their cost-effectiveness, reliability, and efficiency. Speed-sensorless control methods can provide additional competitive advantages to these machines, such as cost and size reduction, and reliability enhancement. In this sense, Kalman filter theory (KF) constitutes a well-established solution for sensorless control of electrical drives that can be easily combined with model predictive control schemes (MPC). This study compares the extended and unscented KF formulations (EKF and UKF) in a sensorless MPC of a PMA-SynRM drive. Performance, computational effort, and sensitivity to measurement errors and model parameters are evaluated and compared through simulation to clarify which filtering algorithm is more suitable for the system under study.application/pdf7engAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Kalman filterPermanent magnet-assisted synchronousreluctance motorsSensorless controlComparison of no linear Kalman filtering schemes for sensorless control of permanent magnet-assisted synchronous reluctance machinesinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccesshttps://doi.org/10.1016/j.ijepes.2025.110487