A new motor speed estimator using Kalman filter in low speed range

Author

Kim, Heui-Wook ; Sul, Seung-Ki

Author_Institution

Dept. of Electr. Eng., Seoul Nat. Univ., South Korea

Volume

1

fYear

1994

fDate

5-9 Sep 1994

Firstpage

503

Abstract

In this paper, a new technique to estimate both the motor instantaneous speed and disturbance load torque using a low precision shaft encoder in very low speed range is proposed. To detect the instantaneous speed and disturbance load torque, the Kalman filter which is an optimal full order estimator is used. Experimental results confirm the validity of the proposed estimation technique. The effects of parameter variations are discussed, and it is verified that the system it robust to the modeling error

Keywords

Kalman filters; angular measurement; electric motors; electric sensing devices; filtering theory; machine testing; machine theory; parameter estimation; torque; Kalman filter; disturbance load torque; instantaneous speed; low speed range; modeling error; motor speed estimator; optimal full order estimator; parameter variations; precision; robust; shaft encoder; testing; Active appearance model; Digital signal processing; Kalman filters; Proposals; Pulse generation; Robustness; Sampling methods; Sensor systems; Shafts; Torque;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, Control and Instrumentation, 1994. IECON '94., 20th International Conference on

Conference_Location

Bologna

Print_ISBN

0-7803-1328-3

Type

conf

DOI

10.1109/IECON.1994.397829

Filename

397829