Bi input-extended Kalman filter-based speed-sensorless control of an induction machine capable of working in the field-weakening region

Authors : Remzi İNAN, Murat BARUT

Pages : 588-604

Doi:10.3906/elk-1208-31

View : 19 | Download : 10

Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :This study introduces a novel bi input-extended Kalman filter insert ignore into journalissuearticles values(BI-EKF);-based speed-sensorless direct vector control insert ignore into journalissuearticles values(DVC); of an induction motor insert ignore into journalissuearticles values(IM);. The proposed BI-EKF-based estimator includes online estimations of the stator stationary axis components of the stator currents, isa and isb; stator stationary axis components of the rotor flux, jra and jrb; rotor angular velocity, wm; stator resistance, Rs; rotor resistance, Rr; and load torque tL, as well as the magnetizing inductance, Lm, by only supposing that the stator phase currents and voltages are measured. Thus, the speed-sensorless DVC of the IM 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 Rs, Rr, tL, and Lm . The simulations confirm the effectiveness of the proposed BI-EKF-based estimator and, consequently, the speed-sensorless DVC of the IM.
Keywords : Induction motor, extended Kalman filter, rotor stator resistance estimation, load torque estimation, magnetizing inductance estimation, sensorless control