Title :
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
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;
Conference_Titel :
Industrial Electronics, Control and Instrumentation, 1994. IECON '94., 20th International Conference on
Conference_Location :
Bologna
Print_ISBN :
0-7803-1328-3
DOI :
10.1109/IECON.1994.397829
