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Lookup NU author(s): Dr Zhihua Xiong, Dr Jie ZhangORCiD
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A support vector regression model based batch to batch optimal control strategy is proposed in this paper. Because of model plant mismatches and unknown disturbances the control performance of optimal control profile calculated from empirical model is deteriorated. Due to the repetitive nature of batch processes, it is possible to improve the operation of the next batch using the information of the current and previous batch runs. A batch to batch optimal control strategy based on the linearization of the model around the control profile is proposed in this paper. Applications to a simulated batch styrene polymerization reactor demonstrate that the proposed method can improve process performance from batch to batch in the presence of model plant mismatches and unknown disturbances.
Author(s): Liu Y, Xiong Z, Yang XH, Zhang J
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Unknown
Conference Name: DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS
Year of Conference: 2006
Pages: 3301-3305
Publisher: WATAM PRESS
Library holdings: Search Newcastle University Library for this item
ISBN:
