Title :
Implementation of a speed sensor-less vector control of induction motor by reduced-order extended Kalman filter
Author :
Kim, Young-Seok ; Kim, Sang-uk ; Yang, Iee-Woo
Author_Institution :
Dept. of Electr. Eng., Inha Univ., Inchon, South Korea
Abstract :
The extended Kalman filter (EKF) has been known to be correctly capable of estimating system parameters and state variables by eliminating virtually all influences of structural noise in the field-oriented control scheme for induction motors. This paper presents a design method of a reduced-order extended Kalman filter which consists of rotor speed and flux estimation only by measuring stator currents. The proposed method has some advantages of saving computation time in comparison with the full-order extended Kalman filter. For the noise reduction, robust speed sensorless vector control is realized in the thesis. Experimental results show the effectiveness of the control strategy proposed here for induction motor drives
Keywords :
Kalman filters; control system synthesis; filtering theory; induction motor drives; machine control; machine testing; machine theory; parameter estimation; robust control; rotors; state estimation; stators; velocity control; computation time; control design; field-oriented control scheme; induction motor drives; noise reduction; reduced-order extended Kalman filter; robust control; rotor flux; rotor speed; sensorless vector control; state variables; stator currents; system parameters; Control systems; Current measurement; Design methodology; Induction motors; Machine vector control; Parameter estimation; Rotors; State estimation; Stators; Velocity measurement;
Conference_Titel :
Applied Power Electronics Conference and Exposition, 1995. APEC '95. Conference Proceedings 1995., Tenth Annual
Conference_Location :
Dallas, TX
Print_ISBN :
0-7803-2482-X
DOI :
10.1109/APEC.1995.469020
