DocumentCode :
2669791
Title :
Application of EKF and RLS estimators in induction motor drive
Author :
Lin, Faa-Jeng
Author_Institution :
Dept. of Electr. Eng., Chung Yuan Christian Univ., Chung Li, Taiwan
Volume :
1
fYear :
1996
fDate :
23-27 Jun 1996
Firstpage :
713
Abstract :
An induction motor (IM) speed drive with the application of an extended Kalman filter (EKF) and a proposed recursive least square (RLS) estimator is introduced in this paper. The rotor resistance of the IM is identified by the EKF; and the rotor inertia constant, the damping constant, and the disturbed load torque of the IM are estimated by the proposed RLS estimator, which is composed of an RLS estimator and a torque observer. The integral proportional (IP) speed controller is designed on-line according to the estimated rotor parameters. Then the observed disturbance torque is fed forward to increase the robustness of the induction motor speed drive
Keywords :
Kalman filters; control system synthesis; controllers; damping; induction motor drives; least squares approximations; machine control; machine theory; observers; recursive estimation; rotors; torque; two-term control; velocity control; controller design; damping constant; disturbed load torque; extended Kalman filter; feedforward; induction motor speed drive; integral proportional speed controller; recursive least square estimator; robustness; rotor inertia constant; rotor resistance; torque observer; Damping; Induction motor drives; Induction motors; Least squares approximation; Pi control; Proportional control; Recursive estimation; Resonance light scattering; Rotors; Torque;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics Specialists Conference, 1996. PESC '96 Record., 27th Annual IEEE
Conference_Location :
Baveno
ISSN :
0275-9306
Print_ISBN :
0-7803-3500-7
Type :
conf
DOI :
10.1109/PESC.1996.548660
Filename :
548660
Link To Document :
بازگشت