Title :
A high-performance induction motor drive with on-line rotor time-constant estimation
Author :
Lin, Faa-Jeng ; Su, Ho-Ming
Author_Institution :
Dept. of Electr. Eng., Chung Yuan Christian Univ., Chung Li, Taiwan
fDate :
12/1/1997 12:00:00 AM
Abstract :
A high-performance induction motor (IM) speed drive with online adaptive rotor time-constant estimation and a proposed recursive least square (RLS) estimator is introduced in this paper. The estimation of the rotor time-constant is on the basis of the model reference adaptive system (MRAS) theory; 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. Moreover, an integral proportional (IP) speed controller is designed online according to the estimated rotor parameters; and the observed disturbance torque is fed forward to increase the robustness of the induction motor speed drive
Keywords :
control system analysis; control system synthesis; induction motor drives; least squares approximations; machine control; machine testing; machine theory; model reference adaptive control systems; observers; parameter estimation; robust control; rotors; two-term control; variable speed drives; velocity control; control design; control simulation; damping constant; disturbed load torque; induction motor drive; model reference adaptive control system; online rotor time-constant estimation; recursive least square estimator; robustness; rotor inertia constant; torque observer; two-term speed control; Adaptive systems; Damping; Induction motor drives; Induction motors; Least squares approximation; Pi control; Recursive estimation; Resonance light scattering; Rotors; Torque control;
Journal_Title :
Energy Conversion, IEEE Transactions on
