Title :
Robust speed-controlled induction-motor drive using EKF and RLS estimators
Author_Institution :
Dept. of Electr. Eng., Chung Yuan Christian Univ., Chung Li, Taiwan
fDate :
5/1/1996 12:00:00 AM
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. 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 speed controller is on-line, designed 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; damping; electric resistance; induction motor drives; least squares approximations; machine control; observers; recursive estimation; robust control; rotors; torque; two-term control; velocity control; damping constant; disturbed load torque; extended Kalman filter; induction-motor drive; integral proportional speed controller; observed disturbance torque; recursive least-square estimator; robust speed-control; rotor inertia constant; rotor parameters estimation; rotor resistance;
Journal_Title :
Electric Power Applications, IEE Proceedings -
DOI :
10.1049/ip-epa:19960287