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 :
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