Inan, RemiziBarut, Murat2019-08-012019-08-0120141300-06321303-6203https://dx.doi.org/10.3906/elk-1208-31https://hdl.handle.net/11480/4275This study introduces a novel bi input-extended Kalman filter (BI-EKF)-based speed-sensorless direct vector control (DVC) of an induction motor (IM). The proposed BI-EKF-based estimator includes online estimations of the stator stationary axis components of the stator currents, i(s alpha) and i(s beta); stator stationary axis components of the rotor flux, phi(r alpha) and phi(r beta); rotor angular velocity, w(m); stator resistance, R-s; rotor resistance, R-r; and load torque t(L), as well as the magnetizing inductance, L-m, by only supposing that the stator phase currents and voltages are measured. Thus, the speed-sensorless DVC of the TM with the inclusion of the proposed estimator is able to be perfectly operated at a wide speed range, varying from zero speed to beyond the rated/based speed under the extreme variations in R-s, R-r, t(L), and L-m. The simulations confirm the effectiveness of the proposed BI-EKF-based estimator and, consequently, the speed-sensorless DVC of the IM.eninfo:eu-repo/semantics/openAccessInduction motorextended Kalman filterrotor-stator resistance estimationload torque estimationmagnetizing inductance estimationsensorless controlArticle22358860410.3906/elk-1208-312-s2.0-84897908807Q3213985WOS:000332942900007Q4