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Batch to Batch Iterative Learning Control of a Fed-Batch Fermentation Process

Lookup NU author(s): Dr Jie ZhangORCiD, Alexandre Lamande


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Batch to batch iterative learning control of a fed-batch fermentation process is studied in this paper. Taking the immediate previous batch as the reference batch, a linearised model relating the deviations in the control profiles with the deviations in the quality variable trajectories is obtained. The linearised model is used in calculating the control policy updating for the current batch through solving an optimisation problem. In order to cope with nonlinearities, the batch-wise linearised model is re-identified after each batch run. Simulation results show that the proposed method can overcome the effect of model-plant mismatches and unknown disturbance and improve the process operation from batch to batch.

Publication metadata

Author(s): Zhang J, Xiong ZH, Guillaume D, Lamande A

Editor(s): Zhang, T.B.

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Mechanical Engineering and Technology

Year of Conference: 2012

Pages: 253-260

ISSN: 1867-5662

Publisher: Springer


DOI: 10.1007/978-3-642-27329-2_35

Library holdings: Search Newcastle University Library for this item

Series Title: Advances in Intelligent and Soft Computing

ISBN: 9783642273285