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An integrated batch-to-batch control and within-batch online control strategy for tracking product quality trajectories in batch processes is proposed. On the basis of a batch-wise linear time-varying perturbation model, iterative learning control (ILC) is implemented for batch-to-batch control and the convergence of tracking errors under ILC is guaranteed. Within a batch, a predictive model is constructed by directly partitioning the linear time-varying model according to time, then batch model predictive control with shrinking horizons is applied online to reduce the effects of model-plant mismatch and/or unknown disturbances. By properly combining these two control methods, the integrated control strategy can complement both methods to obtain good performance. The proposed strategy is demonstrated on a simulated batch polymerisation process, and the results show that the performance can be improved quite significantly under the integrated control strategy than only under ILC, especially when disturbances occur. © The Institution of Engineering and Technology 2006.
Author(s): Xiong ZH, Zhang J, Wang X, Xu YM
Publication type: Article
Publication status: Published
Journal: IET Control Theory and Applications
Year: 2007
Volume: 1
Issue: 1
Pages: 179-188
Print publication date: 01/01/2007
ISSN (print): 1751-8644
ISSN (electronic): 1751-8652
Publisher: The Institution of Engineering and Technology
URL: http://dx.doi.org/10.1049/iet-cta:20050177
DOI: 10.1049/iet-cta:20050177
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