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