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Lookup NU author(s): Dr Jie ZhangORCiD
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An iterative learning control strategy with batch wise updated linearised models identified using principal component regression (PCR) is proposed in this paper for the supersaturation control of a batch crystallization process. Taking the immediate previous batch as the reference batch, the linearised model relates the deviations in the control profiles with the deviations in the quality variable trajectories between the current and the reference batches. The linearised model is used in calculating the control policy updating for the current batch. Simulation results show that the proposed method can overcome the effect of disturbance and improve the process operation from batch to batch.
Author(s): Zhang J, Nguyan J, Xiong ZH, Morris J
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 21st Chinese Control and Decision Conference (CCDC)
Year of Conference: 2009
Number of Volumes: 6
Pages: 1734-1739
Publisher: IEEE
URL: http://dx.doi.org/10.1109/CCDC.2009.5192272
DOI: 10.1109/CCDC.2009.5192272
Library holdings: Search Newcastle University Library for this item
ISBN: 9781424427222
