Title :
Speed estimation of an IM using Kalman filter algorithm at ultra-low speed region
Author :
Yoo, Jae-Yoo ; Park, Tae-Sik ; Kim, Seong-Hwan ; Kim, Nam-Jeung ; Ji-Yoon Yoo
Author_Institution :
Dept. of Electr. Eng., Korea Univ., Seoul, South Korea
Abstract :
Since the average speed calculated with encoder pulses inevitably has time delay effects, it can degrade the control performance as well as system stability of induction motors, especially in the low speed region. In this paper, an accurate speed estimation method using a Kalman filter algorithm is presented to improve the speed control performance of an induction motor with a low precision shaft encoder in the low speed operating region
Keywords :
Kalman filters; control system analysis; filtering theory; induction motors; machine control; machine testing; machine theory; parameter estimation; stability; velocity control; 2.2 kW; Kalman filter algorithm; control performance; control simulation; control stability; induction motor speed control; low-precision shaft encoder; speed estimation; ultra-low speed operating region; Control systems; Covariance matrix; Degradation; Gaussian noise; Noise measurement; Phase noise; Position measurement; Stability; Time measurement; Torque;
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.1997.604167
