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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.
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.
Original language | English |
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Title of host publication | American Control Conference (ACC), 2012 |
Place of Publication | New York |
Publisher | IEEE |
Pages | 6721-6726 |
Number of pages | 6 |
ISBN (Print) | 9781457710957 |
DOIs | |
Publication status | Published - 1 Oct 2012 |
Event | American Control Conference 2012 - Montréal, Canada Duration: 27 Jun 2012 → 29 Jun 2012 |
Conference
Conference | American Control Conference 2012 |
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Country/Territory | Canada |
City | Montréal |
Period | 27/06/12 → 29/06/12 |
Keywords
- nonlinear generalised minimum variance control
- Kalman filter
- nonlinear tank model
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Dive into the research topics of 'Robust nonlinear generalised minimum variance control'. Together they form a unique fingerprint.Projects
- 1 Finished
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Nonlinear High Performance Real Time Control
Grimble, M. & Katebi, R.
EPSRC (Engineering and Physical Sciences Research Council)
1/03/08 → 31/12/10
Project: Research