DocumentCode
574301
Title
Robust Nonlinear Generalised Minimum Variance control
Author
Sung-ho Hur ; Grimble, M.J.
Author_Institution
Dept. of Electron. & Electr. Eng., Univ. of Strathclyde, Glasgow, UK
fYear
2012
fDate
27-29 June 2012
Firstpage
6721
Lastpage
6726
Abstract
This paper extends the Nonlinear Generalised Minimum Variance (NGMV) controller in order to improve the robustness of its control or set-point tracking performance. This is achieved by replacing the Kalman filter included in the original NGMV controller with an observer whose gain is obtained to minimise the effect of uncertainty, which includes unknown disturbance, modelling error, and faults. The performance of the extended controller is assessed and compared with the original controller by application to a nonlinear tank model and a cam phaser dynamics model, and simulation results are presented in this paper demonstrating improvements that can be achieved by the extended controller over the original controller.
Keywords
Kalman filters; nonlinear control systems; observers; robust control; Kalman filter; NGMV controller; cam phaser dynamics model; faults; modelling error; nonlinear tank model; observer; robust nonlinear generalised minimum variance control; set-point tracking performance; unknown disturbance; Equations; Kalman filters; Mathematical model; Nonlinear dynamical systems; Observers; Stability criteria; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2012
Conference_Location
Montreal, QC
ISSN
0743-1619
Print_ISBN
978-1-4577-1095-7
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2012.6314886
Filename
6314886
Link To Document