Title :
Speed-sensorless vector control of an induction motor using recursive least square algorithm
Author :
Park, Tae-Sik ; Kim, Seong-Hwan ; Kim, Nam-Jeung ; Yoo, Ji-Yoon ; Park, Gwi-Tae
Author_Institution :
Dept. of Electr. Eng., Korea Univ., Seoul, South Korea
Abstract :
This paper examines the improvement of the speed-sensorless vector control performance of an induction motor with a speed estimator using the self-tuning regulator (STR) control scheme. The proposed scheme, which consists of a recursive least squares algorithm and a PI control algorithm, increases the stability and improves the control performance in both the steady-state and transient state for both varying and constant speed references
Keywords :
control system synthesis; induction motors; least squares approximations; machine control; machine theory; parameter estimation; recursive estimation; rotors; two-term control; velocity control; PI control algorithm; control design; control performance; induction motor; recursive least square algorithm; rotor flux observer; speed-sensorless vector control; stability; Equations; Frequency estimation; Induction motors; Least squares methods; Machine vector control; Observers; Resonance light scattering; Robustness; Stators; Velocity control;
Conference_Titel :
Electric Machines and Drives Conference Record, 1997. IEEE International
Conference_Location :
Milwaukee, WI
Print_ISBN :
0-7803-3946-0
DOI :
10.1109/IEMDC.1997.604231
