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Robust nonlinear generalised minimum variance control

Hur, Sung Ho and Grimble, Michael (2012) Robust nonlinear generalised minimum variance control. [Proceedings Paper]

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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.

Item type: Proceedings Paper
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: 17 Jul 2013 14:16
URI: http://strathprints.strath.ac.uk/id/eprint/42183

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