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

Volume

43

Issue

4

fYear

1996

fDate

8/1/1996 12:00:00 AM

Firstpage

498

Lastpage

504

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;

fLanguage

English

Journal_Title

Industrial Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0278-0046

Type

jour

DOI

10.1109/41.510642

Filename

510642