Hur, Sung Ho and Grimble, Michael (2012) Robust nonlinear generalised minimum variance control. In: Proceedings of the American Control Conference (ACC) 2012. IEEE, New York, pp. 6721-6726. ISBN 9781457710957
Full text not available in this repository. (Request a copy from the Strathclyde author)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.
| Item type: | Book Section |
|---|---|
| ID code: | 42183 |
| Keywords: | nonlinear generalised minimum variance control , Kalman filter , nonlinear tank model , Mechanical engineering and machinery |
| Subjects: | Technology > Mechanical engineering and machinery |
| Department: | Faculty of Engineering > Electronic and Electrical Engineering |
| Related URLs: | |
| Depositing user: | Pure Administrator |
| Date Deposited: | 23 Nov 2012 16:20 |
| Last modified: | 23 Nov 2012 16:20 |
| URI: | http://strathprints.strath.ac.uk/id/eprint/42183 |
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