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An integrated batch-to-batch iterative learning control and within batch control strategy for batch processes

Lookup NU author(s): Dr Zhihua Xiong, Dr Jie ZhangORCiD

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Abstract

An integrated batch-to-batch iterative learning control (ILC) and within batch on-line shrinking horizon model predictive control (SHMPC) strategy for the tracking control of product qualities in batch processes is proposed. ILC is used for batch-to-batch control based on a batch-wise linear time-varying (LTV) perturbation model and the convergence of batch-wise tracking error under ILC is guaranteed. On-line SHMPC within a batch can reduce the effects of disturbances immediately and improve the performance of the current batch run. The on-line model prediction can be also obtained based on the batch-wise LTV model. The integrated control strategy can complement both methods to obtain good performance of tracking control. The proposed strategy is illustrated on a simulated batch polymerization process. © 2005 AACC.

Publication metadata

Author(s): Xiong Z, Zhang J, Wang X, Xu Y

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Proceedings of the American Control Conference

Year of Conference: 2005

Pages: 1935-1940

Publisher: IFAC

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