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A multiple model, state feedback strategy for robust control of non-linear processes

Wang, F.Y., Bahri, P.A., Lee, P.L. and Cameron, I.T. (2007) A multiple model, state feedback strategy for robust control of non-linear processes. Computers & Chemical Engineering, 31 (5-6). pp. 410-418.

Link to Published Version: http://dx.doi.org/10.1016/j.compchemeng.2006.05.00...
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Abstract

The major limitation of reported multiple model approaches is that robustness against process/controller disturbances cannot be addressed for processes consisting of hybrid stable/unstable regimes, or with chaotic dynamics. In this paper, a significantly modified multiple model approach is developed to achieve robust control with global stability. The new advances include: (1) stabilization of open-loop unstable plants using a state feedback strategy, (2) incorporation of an adjustable pre-filter to achieve offset-free control, (3) implementation of a Kalman filter for state estimation, and (4) connection of the multiple model approach with non-linear model predictive control to achieve a precise control objective. The improved controller design method is successfully applied to two non-linear processes with different chaotic behaviour. Compared with conventional methods without model modifications, the new approach has achieved significant improvement in control performance and robustness with a dramatically reduced number of local models.

Publication Type: Journal Article
Murdoch Affiliation: School of Engineering
Publisher: Elsevier
Copyright: © 2006 Elsevier Ltd. All rights reserved.
URI: http://researchrepository.murdoch.edu.au/id/eprint/10168
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