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

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4 Author(s)
Zhihua Xiong ; Dept. of Autom., Tsinghua Univ., Beijing, China ; Jie Zhang ; Xiong Wang ; Yongmao Xu

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.

Published in:

American Control Conference, 2005. Proceedings of the 2005

Date of Conference:

8-10 June 2005

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