Title :
A Kalman estimator for detecting repetitive disturbances
Author :
Chen, Liang ; Mercorelli, Paolo ; Liu, Steven
Author_Institution :
Dept. of Electr. Eng., Shanghai Univ. for Sci. & Technol., China
Abstract :
The paper proposes a two-stage Kalman filter combining a robust and optimal algorithm for state and disturbance estimation. A practical case coming from automotive application is studied in detail to show the effectiveness of the proposed technique.
Keywords :
Kalman filters; optimal control; robust control; state estimation; valves; Kalman filter; automotive application; disturbance estimation; optimal algorithm; repetitive disturbances detection; robust algorithm; state estimation; Actuators; Control systems; Electric variables control; Engines; Kalman filters; Mechanical variables control; Sensorless control; State estimation; Timing; Valves;
Conference_Titel :
American Control Conference, 2005. Proceedings of the 2005
Print_ISBN :
0-7803-9098-9
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2005.1470201
