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2D multi-model general predictive iterative learning control for semi-batch reactor with multiple reactions

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Abstract

Batch to batch temperature control of a semi-batch chemical reactor with heating/cooling system was discussed in this study. Without extensive modeling investigations, a two-dimensional (2D) general predictive iterative learning control (2D-MGPILC) strategy based on the multi-model with time-varying weights was introduced for optimizing the tracking performance of desired temperature profile. This strategy was modeled based on an iterative learning control (ILC) algorithm for a 2D system and designed in the generalized predictive control (GPC) framework. Firstly, a multi-model structure with time-varying weights was developed to describe the complex operation of a general semi-batch reactor. Secondly, the 2D-MGPILC algorithm was proposed to optimize simultaneously the dynamic performance along the time and batch axes. Finally, simulation for the controller design of a semi-batch reactor with multiple reactions was involved to demonstrate that the satisfactory performance could be achieved despite of the repetitive or non-repetitive disturbances.

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Authors and Affiliations

  1. College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, 210009, China

    Cui-mei Bo  (薄翠梅), Lei Yang  (杨磊), Qing-qing Huang  (黄庆庆) & Jun Li  (李俊)

  2. Department of Chemical and Biomolecular Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong, China

    Fu-rong Gao  (高福荣)

Authors
  1. Cui-mei Bo  (薄翠梅)
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  2. Lei Yang  (杨磊)
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  3. Qing-qing Huang  (黄庆庆)
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  4. Jun Li  (李俊)
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  5. Fu-rong Gao  (高福荣)
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Corresponding author

Correspondence to Cui-mei Bo  (薄翠梅).

Additional information

Foundation item: Projects(61673205, 21727818, 61503180) supported by the National Natural Science Foundation of China; Project(2017YFB0307304) supported by National Key R&D Program of China; Project(BK20141461) supported by the Natural Science Foundation of Jiangsu Province, China

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Bo, Cm., Yang, L., Huang, Qq. et al. 2D multi-model general predictive iterative learning control for semi-batch reactor with multiple reactions. J. Cent. South Univ. 24, 2613–2623 (2017). https://doi.org/10.1007/s11771-017-3675-6

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  • DOI: https://doi.org/10.1007/s11771-017-3675-6

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