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Integrated tracking control for batch processes in the presence of model uncertainties

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

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Abstract

An integrated control strategy is proposed to track product quality trajectories of batch processes by updating a linear time-varying perturbation (LTVP) model. To address the problem of model uncertainties, the LTVP model is renewed by using recursive forgetting factor algorithm. Then batch-to-batch iterative learning control (ILC) can be feasibly combined with on-line model predictive control (MPC) within a batch. The integrated strategy can complement both methods to obtain good performance of tracking control. The proposed strategy is demonstrated on a simulated batch reactor. © 2007 IEEE.

Publication metadata

Author(s): Xiong Z, Zhang J

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 2007 IEEE International Conference on Control and Automation, ICCA

Year of Conference: 2008

Pages: 2417-2422

Date deposited: 28/05/2010

Publisher: IEEE Control Systems Society

URL: http://dx.doi.org/10.1109/ICCA.2007.4376796

DOI: 10.1109/ICCA.2007.4376796

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