Title :
A new motor speed estimator using Kalman filter in low-speed range
Author :
Kim, Heui-Wook ; Sul, Seung-Ki
Author_Institution :
Sch. of Electr. Eng., Seoul Nat. Univ., South Korea
fDate :
8/1/1996 12:00:00 AM
Abstract :
In this paper, a new machine drive technique using novel estimation strategy for the very low-speed operation to estimate both the instantaneous speed and disturbance load torque is proposed. In the proposed algorithm, a Kalman filter is incorporated to estimate both the motor speed and the disturbance torque. The Kalman filter is an optimal state estimator and is usually applied to a dynamic system that involves a random noise environment. The effects of parameter variations are discussed, and it is verified that the system is stable to the modeling error. Experimental results confirm the validity of the proposed estimation technique
Keywords :
AC motor drives; Kalman filters; control system analysis; control system synthesis; filtering theory; machine control; machine testing; machine theory; parameter estimation; velocity control; AC motor drive control; Kalman filter; algorithm; control design; disturbance load torque estimation; dynamic system; instantaneous speed estimation; low-speed operation range; parameter variations; speed estimator; AC motors; Frequency; Noise measurement; Observers; Position measurement; Servomotors; State estimation; Torque; Velocity measurement; Working environment noise;
Journal_Title :
Industrial Electronics, IEEE Transactions on